The C-6 Quad system had an impressive performance throughout the trial

Data from this trial had a similar trend for the relationship between light interception and yield. In the June Flame cultivar, yield measurements up to 50% light interception had little deviation from the linear model, above this point yield varied significantly. Above 50% light interception, differences in yield are likely caused by other limiting factors such as water or nutrients . This would also explain the poor fit for the model of the C-6 V system. With a canopy that intercepted >50% in all three seasons, yield variation was likely a result of environmental conditions. August Flame systems had more time in the first growing season to fill out their allotted space. This resulted in most systems having >50% light interception in all three seasons. Due to the higher light interception, all models had a poor fit and did not provide confident yield predictions.There were often significantly higher fruit counts and larger fruit compared to the Nema Quad system. In the June Flame 2019 harvest data there was a significant difference detected in slopes comparing fruit size vs fruit per hectare however the difference was related to the C-6 Quad system having the best fit to the model for that season. Overall, this system proved capable of producing yields on par with the current commercial systems. The C-6 V system also proved to be a successful alternative to the current standard systems. Fruit sizes and crop loads matched the Nema Quad system in most seasons. High-density plantings may be more suitable for late-bearing cultivars and growers attempting to reach harvest a season earlier may find it difficult to do so with high-density plantings and an early-bearing cultivar. One drawback is the number of trees that must be managed in this kind of a system. With almost 1800 trees per hectare,macetas de plastico initial costs are higher than a planting with half as many or fewer trees. The C-9 Quad system performed poorly compared to all other systems.

These results would suggest that the system is not capable of matching commercial production. However, systems using the C-9 root stock and higher density plantings have been reported to be more productive than data from this trial suggest. With contrasting results from previous studies, nothing conclusive can be proposed. The Nema Quad system did well as a representation of current commercial standards. The strong benchmark provided by this system highlights the impressive productivity of the C-6 V and C-6 Quad systems. Fossil evidence indicates Olive trees originated 20-40 million years ago in the Oligocene, in what is now the eastern Mediterranean Basin . The olive plant was first cultivated ~ 7000 years ago in the Mediterranean basin . Olives are not native to the Americas. Spanish colonists introduced olive cultivation in present day Peru, Chile, and Argentina in 1500s . The Spanish missionaries brought the olives to California in 1700s . Around 1870, several small orchards with many different European varieties were cultivated for oil along the California coast, from San Diego to Sonoma, and in some foothill areas of the Sierra Nevada Mountains. By 1885, there were 2,000 acres of oil olives planted in California. However, this olive oil industry was not competitive against seed oils or European olive oil imports. The “California Style Black Ripe” olive was developed in the early 1900s, and the California industry focused on table olives, increasing to 35,000 acres by the 1980s . However, in the last four decades, the California table olive industry has declined. Stagnant grower prices, high hand-harvest costs and strong international competition with lower-priced imports have decreased the California table olive industry to 15,500 acres in 2020 . During the same period, the olive oil industry increased to 20,000 acres . This rapid reestablishment of a California olive oil industry was greatly facilitated by cultivars bred to remain small, grow in intensive hedgerow orchards, crop early, and be mechanically pruned and harvested . For the past two decades, olive oil has been promoted as a healthier alternative to other fats and oils.

American olive oil sales have increased 100% from 1991 to 2003 and continue to grow. The US ranks as fourth in world olive oil consumption . This increase in olive oil consumption drove the California olive oil industry to increase domestic production, from 247,500 gallons in 1999-2000 to nearly 400,000 gallons in 2004-2005. Currently, most oil olive orchards are in San Joaquin and Sacramento valleys . Average yields for the past decade have ranged from one to six tons per acre of fresh fruit . However, while consumption is increasing and markets are strong, producers struggle to produce the 5 tons per acre and 190 to 210 gallons of oil per acre needed for economic sustainability. The genus Olea in the family Oleaceae has about 35 species, but Olea Europaea L. is the only one that produces edible fruits. Cultivated olives are medium-size evergreen trees that reach ~ four to eight meters tall. They have dense foliage and bear fruits on the previous year’s apical shoot growth. The simple, lanceolate leaves live for two to three years. The petioles are short, with each node composed of two opposite leaves. The fruit is borne on clusters in the axils of the opposing leaves . Olives grow best in Mediterranean climates with mild winters and warm, dry summers. They are cultivated primarily within the 30° to 45° north and south latitudes. Olives are cold sensitive. When actively growing, temperatures below 0°C damage shoots and kill buds. Temperatures slightly above 0°C decrease bloom. An annual mean absolute minimum temperature below -7°C demarcates the geographical range for olive production . Most cultivars require winter chill of ~ 400 hours below 7°C to break dormancy and bloom. Olives are most sensitive to low and high temperatures during bloom. Flowering can be delayed at low temperatures , and high temperatures can limit pollination and pollen tube growth . The optimal temperature for olive pollen germination and pollen tube growth is 20 to 25°C . Sufficient heat accumulation during the growing season is needed for successful fruit maturation. Full fruit development in olives required 1,225 Celsius degree days . When mature, olives are strongly apically dominant with axillary inflorescences borne on the previous year’s shoot growth. Inflorescences form during the previous season on the growing-shoot leaf axils .

The buds are induced in early summer, initiated in the late fall, and differentiate after dormancy into perfect or imperfect flowers. . Their reproductive or vegetative fate will be determined from mid-June to late October. The process of flower bud formation is called floral induction. The presence of fruit on one-year-old shoots inhabits floral induction on the current year’s shoot growth. Thinning an olive tree within six to seven weeks of flowering increases flowering during the following year . The destruction of seeds of very young fruit without destroying the pericarp flowers can also increase the subsequent year’s flowering . Gibberellins, synthesized in the seeds of a developing fruit, were an important inhibitor of floral induction . Olive inflorescences are 1.5 to 4.0 cm long, with 10 to 35 flowers . The inflorescences have a paniculate structure: flowers grow on the central axis and sometimes sub-branching or secondary bearing-axes can occur . Olive flowers are actinomorphic , and the corollas are composed of four white or yellowish white petals .Olive has an andromonoecious reproductive system,macetas rectangulares producing perfect and male flowers on an individual tree . The imperfect male flower has two stamens, with relatively big, bright yellow anthers and short filaments . In perfect olive flowers, the female reproductive system is a pistil with bi-lobed stigma, a short white style, and a green round ovary . The ovary has two locules or cavities, and within each are two ovules. Fruit development requires fertilization of one of the four ovules . The factors that affect the proportion of perfect flowers include substrate competition, cultivar, and environmental conditions . In a normal year. About 50% of flowers are pistillate .Pollination and fertilization are required for fruit production. During pollination, a pollen grain lands on the stigma and germinates, producing a pollen tube, which grows through the stigmatic surface and down the style to the ovary . Ovules of olives are anatropous and during development, they orient so that the micropyle faces upwards . Like many other angiosperms, after successful pollination, one of the two olive male gametes fuses with the egg cell to become the diploid embryo. The other male gamete unites with two polar nuclei to become the triploid endosperm . Only one of the four ovules isfertilized and develops into a fruit. Vascular bundles separate the future endocarp and mesocarp . Botanically, an olive fruit is a drupe. The mesocarp is the fleshy part of the olive and the endocarp is the stony shell that encloses the fertilized embryo. Some argue olives are allogamous, meaning they require, or produce better, with crosspollination. However, they may self-pollinate but often display self-incompatibility, particularly if temperatures are high during bloom . Olive self-incompatibility is attributed to the slow growth of the pollen tubes of the same cultivar through the stigma, resulting in arrival after the ovule has degenerated . However, no failures in fruit set were detected in cross-pollinated Spanish olive groves, so the delay in self-pollinating cultivars might not be the reason for fruit set failure . Mass abscission of young fruit and unfertilized ovaries are a result of competition for assimilates. In the ‘Gordal Sevillana’, cross pollination reduces the number of shot berries and parthenocarpic fruit with little commercial value.

In the ‘Manzanilla de Sevilla’, cross-pollination increases fruit set. However, in other varieties such as the ‘Arbequina’, there is very little difference in the fruit set in response to cross-pollination . A mature olive tree produces abundant flowers, but only a small portion of them persist as fruits . Anthesis of olives lasted seven weeks, starting at bud break . Most inflorescence axis elongation happens during the third week after BB, massive bract shedding occurs the fourth week after BB, and full bloom occurs seven weeks after BB. Intense abscission of flowers and fruits happens five to seven weeks after FB . During the intense abscission period, imperfect flowers abscise before the perfect flowers and fruits, with overlap . Olive yield depends on the population of viable pistillate flowers, their pollination, fertilization, and persistence as fruits . The number of inflorescences affects final fruit set and the number of fruits within one inflorescence is consistent between years and within cultivars . The final olive fruit set correlates positively with the quantity of pollen during bloom . Ovule longevity is fundamental to flower pollination and fertilization in apples, leading the concept of an Effective Pollination Period . EPP is determined by the longevity of the ovules minus the time required for a pollen tube to grow to the ovule. Longer ovule persistence or viability could increase the EPP and, therefore, potentially fruit set in olives .Olive, like apple, pear, mango, and other fruit trees, are alternate bearing, meaning they produce alternating large and small crops . Alternate bearing does not cause harm to trees , but it destabilizes management, production, and marketing . One hypothesis is that carbohydrate depletion during an “on” year due to fruit growth causes low fruit set in the subsequent “off” year . Olive trees placed in growth chambers under favorable conditions for growth: light, temperature, and high CO2 concentration, had five times more non-structural carbohydrate accumulation than controls . However, the olive trees in the chamber still failed to bloom or set fruit successfully. This observation suggested that the lack of photosynthates was not the primary reason for alternative bearing. The developing fruit is an inhibiting factor for floral induction in olive. Reducing the crop load six to seven weeks after flowering resulted in increased flowering for the following year . Olive fruit seed development is a strong influence on inflorescence development . When olive fruit seeds were killed within six weeks after full bloom, leaving the bearing shoots with seedless fruits, the current year’s shoot growth produced more inflorescences the following year than branches with seeded fruits. Gibberellins, synthesized in seeds of developing fruits, were an important inhibitor of floral induction .

TGB3 also appeared to function in redistribution of membrane vesicles throughout the cytosol

TGB1 and TGB2 also localized with membrane vesicles even though extensive membrane proliferation was not observed. However, ectopically expressed TGB3 elicited formation of a complex and well-defined ER network that is closely associated with, or houses, thick actin cables and TGB proteins.Virus movement and membrane reorganization, which is especially obvious in the perinuclear region, was disrupted by mutations in the central membranespanning domain of TGB3. Our findings thus suggest that host membrane associations are involved in several aspects of BSMV movement that merit future study. In addition to differences in requirements of the coat protein for cell-to-cell movement of hordeiviruses and potexviruses, a number of variations are evident in TGB1 protein structure, biochemical activities, interference with host gene silencing, and movement functions of the virgaviruses and the TGB-containing flexiviruses . A recent paper illuminating a TGB1 requirement for formation of X bodies associated with PVX highlights another major difference in functions of the TGB1 proteins of the hordeiviruses and the potexviruses that relates to BSMV actin remodeling. In contrast to BSMV, in which TGB3 expression has a major effect on actin architecture, PVX TGB1 is essential for X-body formation and functions in extensive actin and membrane remodeling . The multilayered membranous X-body is an important organelle that is required for normal levels of viral RNA replication and virion accumulation. Nevertheless, in plants and protoplasts infected with PVX mutants unable to express TGB1, morphogenesis of X bodies fails to occur, yet low levels of PVX replication can be detected and small amounts of virus particles accumulate . However, ectopic expression of PVX TGB1 results in massive remodeling of host actin and endomembranes, greenhouse ABS snap clamp and recruitment of these structures, as well as TGB2 and TGB3, to sites near the nucleus. Subsequently, X-bodies develop into complex multilayered membrane organelles adjacent to the nucleus, that selectively incorporate TGB proteins, ribosomes, viral RNA and virions to specific sites within the granular vesicular bodies .

These differences between the two viruses are further illustrated by conventional electron microscopic observations showing that structures corresponding to PVX X-bodies are not present in BSMV-infected cells, and that BSMV replicates in membrane vesicles formed from the chloroplast outer membrane . Our current results add to a growing list of major differences in the movement processes of TGB-encoding viruses . We previously reported that cytochalasin D treatment failed to affect TGB1 localization in BSMV infected protoplasts and as a result, postulated that cytoskeletal interactions of the protein were relatively minor. However, the experiments presented here reveal both actin remodeling and changes to ER structure as a consequence of BSMV infection and transient expression of TGB3 and TGB2/3. Our observations also provide evidence that the subcellular localization of the TGB proteins depends on actin cytoskeleton interactions. To investigate these interactions in more detail, we used LatB to inhibit actin polymerization in cells infiltrated with TGBreporter proteins. In contrast to cytochalasin D used in our earlier experiments , LatB can be up to 100-fold more potent than cytochalasins, and functions by shortening and thickening of actin filaments. After LatB treatment, the DsRed:Talin patterns in N. benthamiana infiltrated epidermal leaf cells exhibited a major shift from a filamentous actin network to thick cablelike structures.From these experiments, we conclude that actin cytoskeleton modifications are required for BSMV movement and that TGB3 has a critical role in cytoskeleton remodeling during movement. In contrast to the BSMV LatB experiments described above, experiments with the closely related PSLV TGB3 have resulted in different conclusions about mechanisms functioning in PD targeting . In the case of BSMV, actin cytoskeleton disruption by LatB interfered with CW localization of TGB3, and TGB1 when coexpressed with TGB2/3, whereas PSLV TGB3 CW localization was not dramatically affected by LatB treatment . These disparate results highlight fundamental differences in the mechanisms of subcellular transit of BSMV and PSLV. Such differences between related viruses may occur more often than previously realized, as illustrated by a previous report describing differences in the movement of two tobamoviruses .

In this direct comparison, movement of TMV is strongly inhibited by LatB treatment, whereas movement of the related TVCV is unaffected by LatB treatment. These results argue strongly that more than one mechanism may be operative in some closely related viruses, and our collective results suggest that BSMV and PSLV may fit within this category. Evidence for TGB3 associations with the Golgi membranes during coexpression of DsRed:TGB3 and the STGFP Golgi marker indicates that Golgi derived vesicles and DsRed:TGB3 co-localize with the CW after plasmolysis. BFA interference with Golgi stack integrity resulted in a major collapse of vesicles localized in close proximity to the CW, but BFA appears to have only limited effects on BSMV localization or PSLV TGB3 associations with “peripheral bodies” . Nevertheless, differences in the BSMV and PSLV LatB cytoskeleton disruption experiments suggest that different mechanisms may function in some TGB3 interactions culminating in PD targeting. Other than the preliminary experiments shown above, which suggest that BSMV infection does not result in obvious changes to microtubules, we have not extensively investigated possible direct interactions of BSMV TGB proteins with microtubules. However, in other experiments with the related Potato mop-top virus , colchicine treatments were used to disrupt tubulin polymerization and microtubule integrity . Colchicine can affect multiple metabolic and regulatory processes affecting a large number of functions that might interfere with TGB1 localization to the CW. However, the PD associations of PMTV mutants provided evidence for an association between microtubules and PMTV TGB1. Of particular interest, cells were observed for several days after transient expression of the three TGB proteins in ratios corresponding to those occurring during virus infection. During this period, a defined series of kinetic events were noted, beginning with PMTV TGB1 nucleolar interactions and proceeding through cytoplasmic granules to the CW. Thus, the effects of BSMV and PMTV on microtubule remodeling, seem to differ, and these experiments reinforce our suggestion that multiple pathways may operate in CW targeting during TGB1 expression of the virgaviruses. Unfortunately, individual events involved in viral movement from subcellular sites of replication to the PD and adjacent cells are difficult to dissect experimentally, and many of these problems have been discussed previously .

The infection front where important events are coordinated is a moving boundary consisting of a limited number of cells undergoing a series of asynchronous steps, so relatively few studies have probed events at this stage of infection. Variations in delivery protocols also contribute to experimental differences or artifacts that can lead to aberrant subcellular trafficking effects. In this regard,flower pot wholesale examples of the effects of over expression of PSLV TGB3 has been described recently in which anomalous cell death, membrane abnormalities and disrupted Golgi functions occur during transient infection . Third, pharmacological approaches can be quite variable in the hands of different researchers. Finally, a more diverse array of approaches, including infectivity studies applied to different hosts might provide interesting insights into alternative strategies employed by BSMV and other hordeiviruses. Although it would be preferable to investigate movement in the natural BSMV cereal hosts, these plants present technical difficulties that are difficult to circumvent. Fortunately, BSMV, unlike PSLV, is able to infect N. benthamiana, so we have been able to compare cytological and biochemical experiments with infectivity results in this host.Rust fungi are an order of >7000 species of highly specialized plant pathogens with a disproportionately large impact on agriculture, horticulture, forestry, and foreign ecosystems. The infectious spores are typically dikaryotic, a feature unique to fungi in which two haploid nuclei reside in the same cell. Asian soybean rust caused by the obligate biotrophic fungus Phakopsora pachyrhizi, is a prime example of the damage that can be caused by rust fungi. It is a critical challenge for food security and one of the most damaging plant pathogens of this century. The disease is ubiquitously present in the soybean growing areas of Latin America, where 210 million metric tons of soybean are projected to be produced in 2022/23 , and on average representing a gross production value of U.S. $ 115 billion per season . A low incidence of this devastating disease can already affect yields and, if not managed properly, yield losses are reported of up to 80%. Chemical control in Brazil to manage the disease started in the 2002/03 growing season. In the following season, ~20 million hectares of soybeans were sprayed with fungicides to control this disease. The cost of managing P. pachyrhizi exceeds $2 billion USD per season in Brazil alone. The pathogen is highly adaptive and individually deployed resistance genes have been rapidly overcome when respective cultivars have been released. Similarly, the fungal tolerance to the main classes of site-specific fungicides is increasing, making chemical control less effective. Another remarkable feature for an obligate biotrophic pathogen is its wide host range, encompassing 153 species of legumes within 54 genera to date. Epidemiologically, this is relevant as it allows the pathogen to maintain itself in the absence of soybean on other legume hosts, such as overwintering on the invasive weed Kudzu in the United States. Despite the importance of the pathogen, not much was known about its genetic makeup as the large genome size , coupled to a high repeat content, high levels of heterozygosity and the dikaryotic nature of the infectious urediospores of the fungus have hampered whole genome assembly efforts. In this work, we provide reference quality assemblies and genome annotations of three P. pachyrhizi isolates. We uncover a genome with a total assembly size of up to 1.25 Gb.

Approximately, 93% of the genome consists of TEs, of which two super families make up 80% of the TE content. The three P. pachyrhizi isolates collected from South America represent a single clonal lineage with high levels of heterozygosity. Studying the TEs in detail, we demonstrate that the expansion of TEs within the genome happened over the last 10 My and accelerated over the last 3 My, and did so in several bursts. Although TEs are tightly controlled during sporulation and appressoriaformation, we can see a clear relaxation of repression during the in planta life stages of the pathogen. Due to the nested TEs, it is not possible at present to correlate specific TEs to specific expanded gene families. However, we can see that the P. pachyrhizi genome is expanded in genes related to amino acid metabolism and energy production, which may represent key lifestyle adaptations. Overall, our data unveil that TEs that started their proliferation during the radiation of the Leguminosae play a prominent role in the P. pachyrhizi’s genome and may have a key impact on a variety of processes such as host range adaptation, stress responses and plasticity of the genome. The high-quality genome assembly and transcriptome data presented here are a key resource for the community. It represents a critical step for further in-depth studies of this pathogen to develop new methods of control and to better understand the molecular dialogue between P. pachyrhizi and its agriculturally relevant host, Soybean.The high repeat content and dikaryotic nature of the P. pachryrhizi genome poses challenges to genome assembly methods. Recent improvements in sequencing technology and assembly methods have provided contiguous genome assemblies for several rust fungi. Here, we have expanded the effort and provided reference-levelgenome assemblies of three P. pachyrhizi isolates using long-read sequencing technologies. All three isolates were collected from different regions of South America. We have used PacBio sequencing for the K8108 and MT2006 isolates and Oxford Nanopore for the UFV02 isolate to generate three high-quality genomes . Due to longer read lengths from Oxford nanopore, the UFV02 assembly is more contiguous compared to K8108 and MT2006 and is used as a reference in the current study . The total genome assembly size of up to 1.25 Gb comprising two haplotypes, makes the P. pachyrhizi genome one of the largest fungal genomes sequenced to date . Analysis of the TE content in the P. pachyrhizi genome indicates ~93% of the genome consist of repetitive elements, one of the highest TE contents reported for any organism to date . This high TE content may represent a key strategy to increase genetic variation in P. pachyrhizi. The largest class of TEs are class 1 retrotransposons, that account for 54.0% of the genome.

Molecular diffusion was neglected as it was considered negligible relative to dispersion

High frequency irrigation systems involve fastidious planning and complex designs, so that timely and accurate additions of water and fertilizer can result in sustainable irrigation. At the same time these production systems are becoming more intensive, in an effort to optimise the return on expensive and scarce resources such as water and nutrients. Advanced fertigation systems combine drip irrigation and fertilizer application to deliver water and nutrients directly to the roots of crops, with the aim of synchronising the applications with crop demands , and maintaining the desired concentration and distribution of ions and water in the soil . Hence a clear understanding of water dynamics in the soil is important for the design, operation, and management of irrigation and fertigation under drip irrigation . However, there is a need to evaluate the performance of these systems, because considerable localised leaching canoccur near the drip lines, even under deficit irrigation conditions . The loss of nutrients, particularly nitrogen, from irrigation systems can be expensive and pose a serious threat to receiving water bodies . Citrus is one of the important horticultural crops being grown under advanced fertigation systems in Australia. Fertigation delivers nutrients in a soluble form with irrigation water directly into the root-zone, thus providing ideal conditions for rapid uptake of water and nutrients. Scholberg et al. demonstrated that more frequent applications of a dilute N solution to citrus seedlings doubled nitrogen uptake efficiency compared with less frequent applications of a more concentrated nutrient solution. Delivery of N through fertigation reduces N losses in the soil-plant system by ammonia volatilisation and nitrate leaching . However, poor irrigation management, i.e., an application of water in excess of crop requirements,hydroponic nft channel plus the storage capacity of the soil within the rooting depth, can contribute to leaching of water and nutrients below the rootzone.

Therefore, optimal irrigation scheduling is important to maximise the uptake efficiencies of water and nutrients . Most of the citrus production along the Murray River corridor is on sandy soils, which are highly vulnerable to rapid leaching of water and nutrients. Nitrogen is the key limiting nutrient and is therefore a main component of fertigation. An increasing use of nitrogenous fertilizers and their subsequent leaching as nitrate from the root zone of cropping systems is recognised as a potential source of groundwater contamination, because the harvested crop seldom takes up more than 25–70% of the total applied fertilizer . Several researchers have reported substantial leaching of applied N under citrus cultivation in field conditions . Similarly, in lysimeter experiments, Boaretto et al. showed 36% recovery of applied nitrogen by orange trees, while Jiang and Xia reported N leaching of 70% of the initial N value, and found denitrification and leaching to be the main processes for the loss of N. These studies suggest that knowledge of the nitrogen balance in cropping systems is essential for designing and managing drip irrigation systems and achieving high efficiency of N fertilizer use, thereby limiting the export of this nutrient as a pollutant to downstream water systems. Quantifying water and nitrogen losses below the root zone is highly challenging due to uncertainties associated with estimating drainage fluxes and solute concentrations in the leachate, even under well-controlled experimental conditions . Moreover, direct field measurements of simultaneous migration of water and nitrogen under drip irrigation is laborious, time-consuming and expensive . Hence simulation models have become valuable research tools for studying the complex and interactive processes of water and solute transport through the soil profile, as well as the effects of management practices on crop yields and on the environment .

In fact, models have proved to be particularly useful for describing and predicting transport processes, simulating conditions which are economically or technically impossible to carry out in field experiments . Several models have been developed to simulate flow and transport processes, nutrient uptake and biological transformations of nutrients in the soil . HYDRUS 2D/3D has been used extensively for evaluating the effects of soil hydraulic properties, soil layering, dripper discharge rates, irrigation frequency and quality, timing of nutrient applications on wetting patterns and solute distribution because it has the capability to analyse water flow and nutrient transport in multiple spatial dimensions . In the absence of experimental data we can use multidimensional models solving water flow and nutrient transport equations to evaluate the multi-dimensional aspect of nitrate movement under fertigation . However, earlier simulation studies have reported contradictory results on nitrate distribution in soils. For example, Cote et al. reported that nitrate application at the beginning of an irrigation cycle reduced the risk of leaching compared to fertigation at the end of the irrigation cycle. On the other hand, Hanson et al. reported that fertigation at the end of an irrigation cycle resulted in a higher nitrogen use efficiency compared to fertigation at the beginning or middle of an irrigation cycle. These studies very well outlined the importance of numerical modelling in the design and management of irrigation and fertigation systems, especially when there is a lack of experimental data on nutrient transport in soils. However, there is still a need to verify the fate of nitrate in soils with horticultural crops and modern irrigation systems. Therefore, a lysimeter was established to observe water movement and drainage under drip irrigated navel orange, and to calibrate the HYDRUS 2D/3D model against collected experimental data. The model was then used, in the absence of experimental data on nitrate, to develop various modelling scenarios to assess the fate of nitrate for different irrigation and fertigation schemes.The study was conducted on a weighing lysimeter assembled and installed at the Loxton Research Centre of the South Australian Research and Development Institute. The lysimeter consisted of a PVC tank located on 1.2 m × 1.2 m pallet scales fifitted with 4 × 1 tonne load-cells, and connected to a computerised logging system which logged readings hourly.

A specially designed drainage system placed at the bottom of the lysimeter consisted of radially running drainage pipes,nft growing system which were connected to a pair of parallel pipes, which facilitated a rapid exit of drainage water from the lysimeter. These pipes were covered in a drainage sock and buried in a 25-cmlayer of coarse washed river sand at the base of the lysimeter, which ensured easy flushing of water through the drainage pipe. A layer of geo-textile material was placed over the top of the sand layer to prevent roots growing down into it, as this layer was intended to be only a drainage layer. A healthy young citrus tree was excavated from an orchard at the Loxton Research Centre and transplanted into the lysimeter. A soil profile approximately 85 cm deep was transferred to the tank with the tree and saturated to remove air pockets and to facilitate settling. The final soil surface was around 10 cm below the rim of the tank. Soil samples were collected from0 to 20, 20 to 40, 40 to 60, 60 to 85, and 85 to 110 cm depths to measure bulk density and to carry out particle size analysis. Two months after transplanting, the lysimeter was installed amongst existing trees in the orchard. Measurements were initiated after about six months, in order to enable the plant to adjust to the lysimeter conditions. The lysimeter was equipped with Sentek® EnviroSCAN® logging capacitance soil water sensors installed adjacent to the drip line at depths of 10, 20, 40, 60, and 80 cm to measure changes in the volumetric soil water content. Drainage water was directed through flexible piping into a large bin installed below ground level. The experimental site was approximately 240 m from an established weather station, which measured air temperature, relative humidity, wind speed , rainfall, and net radiation.Irrigation was applied using 3 pressure compensated emitters with a discharge rate of 4 L h−1. Emitters were located on a circle 25 cm away from the tree trunk at an equal distance from each other . The irrigation schedule was based on the average reference evapotranspiration during the last 10 years at the site, multiplied by the crop coefficient taken from Sluggett . The cumulative crop evapotranspiration during the 29 day experimental period was equal to 65.3 mm, and daily ETC varied from 1.68 to 3.39 mm. Irrigation was initiated on 16 August 2010 and terminated on 13 September, 2010. Irrigation and rainfall were recorded daily and drainage volume was measured 3 times per week throughout the trial period. Daily irrigation was applied in 5 short pulses using an automated irrigation controller, with 2 h breaks between irrigation pulses. The amount of irrigation water applied was slightly higher than ETC for the period. A total of 70 mm of rainfall fell during the experimental period, including a single event of 52 mm on 3 September 2010.The simulation domain was represented by a 110-cm deep and 100-cm wide cylindrical cross section. Drip irrigation was modelled as a circular line source 25 cm from the centre of the lysimeter with a uniform water flux along the drip line.

This simplification was made to enable HYDRUS to model this problem in a 2D axi-symmetrical mode , rather than in a full 3D mode, which would be computationally much more demanding. Additionally, since the surface wetted area and input flux densities under drippers were dynamic, an option that we would not be able to model with HYDRUS in a 3D mode, we assumed that the simplification of the problem to axi-symmetrical 2D was adequate. Moreover, the drainage system laid out in the lysimeter also supported the use of an axi-symmetrical domain as the drainage pipes run in a circular fashion to collect and flush drainage water out of the lysimeter. The transport domain was discretized into 3294 finite elements, with a very fine grid around the dripper and near the outflow , with gradually increasing element spacing farther from these two locations . Simulations were carried out over a period of 29 days.Since most soils on which citrus is grown in South Australia are coarse textured soils with good drainage, high oxygen levels, low organic matter, and low microbial populations, denitrification and mineralisation was assumed to be negligible in this study. Similarly, the soil adsorption of nitrate was also considered to be negligible since both nitrate and solid surfaces are negatively charged. Plant uptake of non-adsorbing nutrients like nitrate is controlled mainly by mass flow of water uptake . Therefore, it was assumed that nitrate was either passively taken up by the tree with root water uptake or moved downward with soil water. Spatial distribution of nitrate in the transport domain was thus simulated using the convection–dispersion equation for a nonreactive tracer. The longitudinal dispersivity was considered to be 5 cm, with the transverse dispersivity being one-tenth of this . Similar values of these parameters have been used in other studies .Citrus trees in this region are fertilised from early September till March, and in drip systems fertilizers are mostly applied with the second irrigation pulse for the day. All fertigation scenarios reported here are hypothetical. Fertigation was assumed to be supplied with the same quantity of water as in irrigations without fertigation and to conform to the 2D axi-symmetrical domain. For the initial scenario, fertigation pulses were applied from 30 August 2010 at the rate of one fertigation pulse each day. These were followed by 2 days without fertigation and then another daily fertigation pulses. The resultant dose of N for the period from August till September was calculated based on recommended fertilizer application practices for 5–6 year old orange tree. The seasonal recommended dose of nitrogen for an orange tree of this age is 139 g N applied from September to March . Hence for the seasonal simulation, nitrogen was assumed to be applied in equal monthly doses , in similar pulses as described for the experimental period. The simulation was run for 300 days in order to evaluate the fate of seasonally applied nitrogen fertilizer in citrus. Further scenarios examining the impact of timing of nitrogen application on the efficiency of nitrogen uptake simulated a fertilizer application either at the beginning , middle , or end of the daily irrigation scheme. Since the daily irrigation consisted of 5 pulses, fertigation was applied during the 2, 3 and 4 irrigation pulse in the PF1, PF2 and PF3 scenarios, respectively. It is a common practice that the initial and final irrigation pulses are fertilizer free to ensure a uniform fertilizer application and flushing of the drip lines. In addition to these simulations, two continuous fertigation scenarios were also performed to compare pulsed and continuous fertigation.

Nft Hydroponic System Flow Rate

The flow rate of an NFT (Nutrient Film Technique) hydroponic system depends on various factors, including the size of the system, the number of plants, and the specific requirements of the plants being grown. However, I can provide you with a general guideline for the flow rate in an NFT system.

In an NFT system, a thin film of nutrient solution continuously flows over the roots of the plants, providing them with water and nutrients. The flow rate is typically measured in liters per hour (L/h) or gallons per hour (GPH).

A common recommendation for the flow rate in an NFT system is around 1-2 liters per minute per square meter of growing channel. This means that for every square meter of NFT channel, the system should provide a flow rate of 60-120 liters per hour (or approximately 15-30 gallons per hour). This guideline ensures that there is a sufficient supply of water and nutrients to the plants’ roots while also allowing for efficient drainage and oxygenation.

Keep in mind that this is a general guideline, and the flow rate can be adjusted based on the specific needs of your plants, the environmental conditions, and the stage of growth. It’s always a good idea to consult specific resources or seek advice from experienced hydroponic growers to determine the optimal flow rate for your particular setup.

What Are The Different Ways To Grow Hydroponic Farming

Hydroponic farming offers various methods for growing plants without soil. Here are some of the different ways to practice hydroponic farming:

  1. Nutrient Film Technique (NFT): In this method, a thin film of nutrient-rich water continuously flows over the roots of the plants, allowing them to absorb nutrients while also receiving oxygen. The plants are usually placed in troughs or channels with a slight slope to facilitate the flow of the nutrient solution.
  2. Deep Water Culture (DWC): DWC involves suspending plant roots in a nutrient solution with the support of a floating platform or raft. The roots are submerged in the oxygenated solution, providing constant access to nutrients and oxygen.
  3. Drip System: Drip irrigation systems deliver nutrient-rich water directly to the plant’s root zone through small tubes or emitters. The solution is dripped or sprayed onto the medium or roots, allowing the plants to absorb the nutrients. Excess solution is collected and recirculated.
  4. Aeroponics: Aeroponics is a method where the plants’ roots are suspended in air, and a nutrient mist is sprayed directly onto the roots. This method ensures maximum oxygenation for the roots and efficient nutrient uptake.
  5. Wick System: The wick system is a passive hydroponic method where a wick, such as a cotton rope, transfers the nutrient solution from a reservoir to the plant’s growing medium. The wick draws up the solution, providing moisture and nutrients to the roots.
  6. Ebb and Flow (Flood and Drain): This method involves periodically flooding the growing tray or container with nutrient solution and then allowing it to drain away. The flooding and draining cycles provide oxygen to the roots while ensuring they receive the necessary nutrients.
  7. Vertical Farming: Vertical hydroponic systems utilize vertical space to grow plants in stacked layers or towers. This method maximizes the use of limited space and allows for high-density cultivation.
  8. Nutrient Film Technique (NFT): The NFT system uses a constant flow of nutrient-rich water in a shallow channel, allowing the plant roots to access the solution while being exposed to air. The nutrient film provides continuous nutrient supply and oxygenation.

These are just a few examples of the many hydroponic farming methods available. Each method has its own advantages and considerations, and the choice depends on factors such as plant type, available space, resources, and personal preference.

10 Litre Black Plastic Plant Pots

10-litre black plastic plant pots are a common choice for gardening and horticultural purposes. These pots are typically made of durable, UV-stabilized plastic that is designed to withstand outdoor conditions. The black color helps absorb heat, which can be beneficial for certain plant species.

Here are some key features and considerations regarding 10-litre black plastic plant pots:

  1. Size: These pots have a capacity of 10 litres, which means they can accommodate plants that require a larger root space or have more extensive root systems.
  2. Material: The pots are made of black plastic, which is lightweight, durable, and resistant to cracking or breaking. The plastic used is usually polypropylene or high-density polyethylene (HDPE).
  3. Drainage: Proper drainage is essential for plant health. Look for pots with drainage holes at the bottom to prevent waterlogging and ensure adequate oxygen supply to the roots.
  4. Versatility: 10-litre pots are suitable for a wide range of plants, including flowers, vegetables, herbs, shrubs, and small trees. They offer enough room for the plants to grow and establish a healthy root system.
  5. Portability: Plastic pots are generally lightweight, making them easier to move around as needed. However, keep in mind that once filled with soil and plants, they can become heavier.
  6. Reusability: Plastic plant pots are reusable and can be used for multiple planting seasons. Ensure proper cleaning and disinfection between uses to prevent the spread of diseases or pests.
  7. Maintenance: Plastic pots are relatively low-maintenance. They are easy to clean, resist fungal growth, and do not deteriorate quickly. However, they may need occasional replacement if they become damaged or show signs of wear and tear.

When purchasing 10-litre black plastic plant pots, you can find them at garden centers, nurseries, or online gardening stores. Consider your specific gardening needs and the types of plants you intend to grow when choosing the appropriate pot size.

How to Increase Blueberry Yield

To increase blueberry yield, you can implement several strategies that focus on optimizing plant health, proper fertilization, pollination, pruning, and pest management. Here are some tips to help you increase your blueberry yield:

  1. Soil Preparation:
    • Blueberries prefer acidic soil with a pH between 4.5 and 5.5. Test your soil and amend it with sulfur or other acidifiers if necessary.
    • Ensure the soil is well-drained and rich in organic matter. Incorporate compost or well-rotted manure into the soil before planting.
  2. Variety Selection:
    • Choose blueberry varieties that are known for high yield and suitability to your climate. Different varieties have different yield potentials and adaptability, so research which ones perform best in your region.
  3. Proper Plant Spacing and Arrangement:
    • Follow the recommended spacing guidelines for your blueberry variety. This allows air circulation,growing blueberries reduces disease incidence, and ensures proper access to sunlight for all plants.
  4. Fertilization:
    • Blueberries have specific nutrient requirements. Conduct a soil test to determine the nutrient levels and pH of your soil.
    • Apply fertilizers specifically formulated for blueberries or acid-loving plants. Typically, blueberries require nitrogen, phosphorus, potassium, and other micronutrients.
    • Divide the total recommended annual fertilizer amount into multiple applications throughout the growing season to avoid over-fertilization.
  5. Mulching:
    • Apply a layer of organic mulch, such as wood chips, sawdust, or pine needles, around the base of blueberry plants.
    • Mulch helps retain moisture, regulate soil temperature, suppress weeds, and improve overall soil health.
  6. Irrigation:
    • Blueberries require consistent moisture, especially during fruit development. Monitor soil moisture regularly and provide irrigation if necessary.
    • Drip irrigation or soaker hoses are recommended to deliver water directly to the roots while minimizing foliage wetting, which can reduce disease incidence.
  7. Pruning:
    • Prune blueberry bushes during the dormant season to remove dead or damaged wood, improve air circulation, and maintain an open canopy.
    • Proper pruning encourages new growth and helps rejuvenate older bushes, leading to increased yield.
  8. Pollination:
    • Blueberries are self-pollinating, but cross-pollination can improve fruit set and yield. Plant different blueberry varieties that bloom at the same time to enhance pollination.
    • Attract pollinators, such as bees, by planting flowering plants nearby or providing nesting habitats.
  9. Pest and Disease Management:
    • Monitor your blueberry plants regularly for pests like aphids, mites, or fruit flies. Identify and address any pest issues promptly.
    • Implement integrated pest management (IPM) strategies, such as using biological controls, pheromone traps, or insecticidal soaps when necessary.
    • Be vigilant about common blueberry diseases like mummy berry, powdery mildew, or fruit rot. Follow recommended practices for disease prevention and consider fungicide applications if needed.
  10. Winter Protection:
    • In regions with harsh winters,25 liter pot protect blueberry plants from cold temperatures and desiccation by covering them with burlap or using protective structures like hoop houses.

Remember, blueberries typically take a few years to reach their full yield potential, so patience is important. By implementing these practices consistently and providing optimal growing conditions, you can improve your blueberry yield over time.

How To Make A Nft Hydroponic System

To create an NFT (Nutrient Film Technique) hydroponic system, you will need the following materials and tools:

Materials:

  1. Growing channels or troughs (typically made of PVC or other suitable materials)
  2. Submersible water pump
  3. PVC pipes and connectors
  4. Growing media (such as Rockwool cubes or net pots)
  5. Nutrient solution
  6. Timer for controlling the water pump
  7. pH and EC meters for monitoring nutrient levels
  8. Light source appropriate for your plants
  9. Reservoir or tank for holding the nutrient solution
  10. Air pump and air stones (optional but recommended for oxygenation)

Tools:

  1. Saw or pipe cutter
  2. Drill with appropriate drill bits
  3. Measuring tape
  4. Screwdriver or wrench for tightening connectors

Here are the general steps to set up an NFT hydroponic system:

  1. Design and prepare the channels: Determine the size and layout of your growing channels. Cut the PVC pipes or troughs to the desired length and attach them to the frame or support structure.
  2. Set up the water pump: Install the submersible water pump in the reservoir or tank. Connect the pump to the PVC pipes or channels using suitable connectors and tubing. Ensure the pump is capable of providing a gentle flow of nutrient solution.
  3. Create a slope: Position the channels at a slight angle to allow the nutrient solution to flow from one end to the other. A slope of 1:30 to 1:40 is generally recommended.
  4. Install the growing media: Place the Rockwool cubes or net pots with your plant seedlings or clones into the channels, ensuring that the roots are exposed to the flowing nutrient solution.
  5. Connect the system: Connect the water pump to a timer, which will regulate the on/off cycles to maintain the desired nutrient flow. Set the timer to periodically pump the nutrient solution through the channels, allowing it to flow over the roots and then drain back into the reservoir.
  6. Mix and monitor the nutrient solution: Prepare the nutrient solution according to the instructions provided by the manufacturer. Regularly monitor the pH and electrical conductivity (EC) levels of the solution and adjust as necessary to maintain optimal plant health.
  7. Provide adequate lighting: Place suitable grow lights above the channels to provide the necessary light intensity and spectrum for plant growth. Adjust the height and duration of lighting based on the requirements of your plants.
  8. Oxygenate the solution (optional): If desired, connect an air pump and air stones to provide additional oxygenation to the nutrient solution. This helps ensure the roots receive sufficient oxygen for healthy growth.
  9. Monitor and maintain: Regularly check the system for proper flow, nutrient levels, and overall plant health. Keep an eye out for clogs, pests, or any other issues that may arise.

Remember to research and adjust the system parameters based on the specific requirements of your plants. Hydroponic gardening requires precise monitoring and adjustments to ensure optimal growth and yield.

Strawberry Hydroponic Gutter System

A strawberry hydroponic gutter system is a method of growing strawberries using a hydroponic system that utilizes gutters as the growing medium. Hydroponics is a technique for cultivating plants without soil, where the plants receive all the necessary nutrients through a water-based solution.

In a hydroponic gutter system specifically designed for strawberries, a series of gutters are set up at an incline. The gutters typically have holes or channels where the strawberry plants are placed. The plants’ roots hang down into the flowing nutrient-rich water solution.

Here are the key components and considerations for a strawberry hydroponic gutter system:

  1. Gutters: The gutters used in the system can be made of various materials such as PVC, metal, or plastic. They should be designed to hold the plants securely while allowing the roots to access the nutrient solution.
  2. Nutrient Solution: The nutrient solution contains a balanced mix of essential nutrients that strawberries need for healthy growth. It typically includes macronutrients (such as nitrogen, phosphorus, and potassium) and micronutrients (such as iron, zinc, and calcium). The solution is regularly pumped or flowed through the gutters, ensuring the roots have access to the nutrients.
  3. Substrate: A substrate or growing medium may be used in the gutter system to support the strawberry plants. Common options include coconut coir, perlite, vermiculite, or rockwool. The substrate holds moisture and provides stability for the plants.
  4. Irrigation: An automated irrigation system is necessary to supply the nutrient solution to the gutters. This can be accomplished using drip irrigation, where small tubes or emitters deliver a regulated amount of nutrient solution to each plant or gutter.
  5. Lighting: Depending on the location and available natural light, supplemental artificial lighting may be needed to ensure the strawberries receive sufficient light for photosynthesis. LED grow lights are commonly used in hydroponic systems to provide the specific light spectrum needed for plant growth.
  6. Climate control: Controlling the temperature, humidity, and ventilation is crucial for optimal strawberry growth. Proper airflow and ventilation help prevent diseases and provide an environment suitable for plant development.
  7. Planting and maintenance: Strawberry plants are typically propagated from runners or small transplants and placed into the gutter system. Regular monitoring of pH levels, nutrient concentrations, and overall plant health is necessary. Pruning, removing dead leaves, and ensuring pollination (if not using self-pollinating varieties) are also important for productive plants.

A hydroponic gutter system offers several advantages for growing strawberries. It allows for high-density planting, efficient use of space, and easier access to the plants for maintenance and harvesting. Additionally, since hydroponics avoids soil, the risk of soil-borne diseases and pests is minimized.

However, it’s important to note that designing and managing a hydroponic gutter system requires some expertise in hydroponic gardening. It may be beneficial to consult resources, attend workshops, or seek guidance from experienced growers to ensure the best results.

Our phylogenetic trees showed that P. turczaninovii always clustered with P. tenuiloba

Low resolution phylogenetic trees made using the chloroplast regions mentioned above have been reported for other taxa, including Curcuma and Sisyrinchium . The inadequate resolution may be due to the lower substitution rates and lack of variation found in single plastid regions. Thus, we do not recommend single plastid regions as DNA barcodes for this the genus. Among the candidate barcode genes, the Consortium for the Barcode of Life Plant Working Group suggested that rbcL, matK, and the rbcL+matK combination should be sufficient for a plant barcode, and that this combination should be supplemented with additional markers as required . In addition, Kress et al. and Chase et al. proposed that trnH-psbA can be used in two-locus or three-locus barcode systems to improve resolution. For instance, two of the three combinations of the three chloroplast loci tested in this study, rbcL+trnH-psbA and rbcL+matK+trnH-psbA exhibited higher discriminatory performance than any single marker. Consequently, this highlights the need to use chloroplast multi-locus barcodes to improve the resolution of species identification in Pulsatilla. The nuclear ITS region provided the highest inter-and intraspecific divergences and had a higher success rate for the correct identification of species in TAXONDNA . However, as for the treebuilding method,large pot with drainge the discriminatory performance of ITS is not satisfactory, as its highest resolution is 39.02% .

As evidenced by previous studies, the multi-locus barcode is one of the combinations that demonstrated the highest species resolution rate, e.g., Aceraceae , Lysimachia , Oberonia , Rhodiola and Schisandraceae . However, in this study, addition of ITS to different kinds of combinations of chloroplast markers did not increase the resolution rate obviously . The resolution rate based on tree-building analyses was 51.22% for BI and 58.54% for PWG. In addition, we found no distinct barcoding gap. This phenomenon may be due to the one or more of several reasons. first, incomplete lineage sorting and non-homogeneous concerted evolution are likely to occur at the ITS locus . Second, the three chloroplast regions cannot compensate for the drawbacks of ITS because they are sourced from a different genome. Although the nuclear genome is inherited biparentally, the chloroplast genome is inherited uniparentally. Thus, the chloroplast genome experiences more complete lineage sorting than the ITS locus does. Third, hybridizations may cause conflicts between ITS and chloroplast loci, as well as problematic results in ITS phylogeny due to the possibility of homogenization to paternal copies in some lineages and maternal copies in others. A combination of DNA markers from different genomes— which have different modes of inheritance and conflicting phylogenies—can hinder our understanding of species delimitation and the evolutionary processes of speciation. Because of its myriad variable sites that can reliably distinguish species, resulting from a high mutation rate and rapid concerted evolution, we recommend ITS as a good single barcode for the genus Pulsatilla.Phylogenetic identification and species recognition are foundationally important for biology . The results of the phylogenetic analyses performed in this study may shed some light on the identification and taxonomy of the genus Pulsatilla . Here, we found that Pulsatilla formed a monophyletic group with high support. Moreover, the three recognized subgenera — i.e. subg. Pulsatilla, subg. Kostyczewianae, and subg.

Preonanthus— were resolved as distinct monophyletic groups, which is consistent with the recent phylogenetic result . Within subgenus Pulsatilla, our analyses found that P. camanella and P. ambigua were resolved as sister to one another with high support. These two species share many common morphological characters, such as almost fully expanded leaves at anthesis,black plastic planting pots and dense, long trichomes. The flowers of both species nod before anthesis . However, during anthesis, the sepals of P. camanella can easily be distinguished from those of P. ambigua by color . At the same time, the micro-morphological characters of the leaves are also different . Actinocytic and anomocytic stomata exist in both species, but most stomata in P. camanella are actinocytic, whereas most are anomocytic in P. ambigua. Thus, molecular data as well as micromorphological characters can distinguish between these two species relatively well. Both types of evidence may be helpful to accurately identify specimens that are damaged or lack sufficient diagnostic characters. In addition to its use in identifying specimens, DNA barcoding is also useful for resolving taxonomic uncertainty .They did not have distinct barcodes. The micro-morphological characters were also found to be the same, since both plants showed polygonal epidermal cells with striation, a dense distribution of stomata, and glabrous or sparsely short trichomes. In addition, the geographical distribution of these two species overlaps in Inner Mongolia. Taken together, these distinct lines of evidence collectively suggest that P. turczaninovii and P. tenuiloba are the same species. The discovery of hybridization, introgression, and/or incomplete lineage sorting among species is another useful application of DNA barcoding . The chloroplast region is inherited maternally, but the nuclear genome, including the ITS region, is inherited biparentally . Thus, if there are different results in different phylogenetic analyses from chloroplast and nuclear data, we speculate that these differences may be caused by hybridization and/or introgression among species, which could result in a non-monophyletic clade. In subg. Pulsatilla, we found several complex groups. The samples of P. chinensis and P. cernua in cluster III, were indistinguishable. In the Bayesian inference tree based on ITS sequences , the samples of P. cernua clustered in a clade along with sample P. chinensis. However, in the Bayesian inference tree based on the combination of chloroplast sequences , sample P. chinensis clustered in a clade with all other samples of P. chinensis. P. chinensisis a widespread species and has a geographical range that covers that of P. cernua; in addition, sample P. chinensis was collected near populations of P. cernua in Jilin Province, China. Hybridization or introgression might have occurred during the speciation of P. chinensisis and P. cernua. A similar situation was also found for sample P. ambigua108 and cluster I , suggesting hybridization may have occurred between P. ambigua and P. tenuiloba/P. turczaninovii.