Plant Analysis as an Aid in Fertilizing Orchards

Righetti, Timothy L.; Wilder, Kris L.; Cummings, G. A.

doi:10.2136/sssabookser3.3ed.c22

Cited by 10 publications

(15 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While substantial response to fertilization is possible where strong nutrient deficiency occurs, the major contribution of tissue testing is to reduce or discontinue the unneeded application of fertilizers in the following years [14]. Relationships between yield and tissue composition of annual crops have been found appropriate to elaborate nutrient standards [56].…”

Section: Carryover Effectsmentioning

confidence: 99%

“…Cranberry grows best at pH 4.0-5.5 [13]. For perennial crops such as cranbrerry, soil tests are often weakly correlated with fruit yield and are thus complementary to tissue tests [14]. Nevetheless, soil tests provide information on soil's capacity to supply nutrients.…”

Section: Introductionmentioning

confidence: 99%

“…Results of tissue tests are sensitive to genetic and environmental factors [15]. The interpretation of tissue tests is made even more complicated by nutrient interactions [16] and crosstalks [17,18], the fertilization regime [19], soil temperature impacting organic matter decomposition [2], pollination, pests, fruit loading, climatic effects, plant vigor, pruning, irrigation, fruit quality [14], and possibly nutrient uptake by roots in the preceding fall if conditions are favorable [20]. Carryover effects occur where carbohydrates and nutrients accumulated in preceding years impact on yield during the current or next seasons of production.…”

Section: Introductionmentioning

confidence: 99%

“…Tissue testing conducted annually is well suited to perennial crops for long-term nutrient management [14]. Change in fertilization regimes may take more than one season to be effective because carbohydrate and nutrient reserves accumulated in off-years can be remobilized at high rate in on-years [22,23].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Current and next-year cranberry yields predicted from local features and carryover effects

et al. 2021

View full text Add to dashboard Cite

Wisconsin and Quebec are the world leading cranberry-producing regions. Cranberries are grown in acidic, naturally low-fertility sandy beds. Cranberry fertilization is guided by general soil and tissue nutrient tests in addition to yield target and vegetative biomass. However, other factors such as cultivar, location, and carbon and nutrient storage impact cranberry nutrition and yield. The objective of this study was to customize nutrient diagnosis and fertilizer recommendation at local scale and for next-year cranberry production after accounting for local factors and carbon and nutrient carryover effects. We collected 1768 observations from on-farm surveys and fertilizer trials in Quebec and Wisconsin to elaborate a machine learning model using minimum datasets. We tested carryover effects in a 5-year Quebec fertilizer experiment established on permanent plots. Micronutrients contributed more than macronutrients to variation in tissue compositions. Random Forest model related accurately current-year berry yield to location, cultivars, climatic indices, fertilization, and tissue and soil tests as features (classification accuracy of 0.83). Comparing compositions of defective and successful tissue compositions in the Euclidean space of tissue compositions, the general across-factor diagnosis differed from the local factor-specific diagnosis. Nutrient standards elaborated in one region could hardly be transposed to another and, within the same region, from one bed to another due to site-specific characteristics. Next-year yield and nutrient adjustment could be predicted accurately from current-year yield and tissue composition and other features, with R2 value of 0.73 in regression mode and classification accuracy of 0.85. Compositional and machine learning methods proved to be effective to customize nutrient diagnosis and predict site-specific measures for nutrient management of cranberry stands. This study emphasized the need to acquire large experimental and observational datasets to capture the numerous factor combinations impacting current and next-year cranberry yields at local scale.

show abstract

Section: Carryover Effectsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Current and next-year cranberry yields predicted from local features and carryover effects

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Plants that have evolved in such environments tend to be tolerant of soil acidity and may overcome the poor soil P levels by establishing symbiotic relationships with ectomycorrhizal fungi (Pereira et al 2012). Furthermore, the reliability of a diagnosis based on soil analysis in orchards is low due to the high amount of soil that the roots exploit (Righetti et al 1990;Rodrigues et al 2012). A mature chestnut tree can be huge, which reduces the quality of a diagnosis based only on soil analysis.…”

Section: Introductionmentioning

confidence: 99%

Large Chestnut Trees (Castanea sativa) Respond Poorly to Liming and Fertilizer Application

Rodrigues

Raimundo

Pereira³

et al. 2020

J Soil Sci Plant Nutr

View full text Add to dashboard Cite

Establishing a fertilization plan for large trees is particularly difficult due to the high soil volume that the roots exploit and the buffer effect of the perennial woody structure on the concentration of nutrients in the leaves. This work evaluates the response of chestnut, a very large tree, to different fertilizer solutions. The study was conducted in two chestnut orchards planted in acid soils that were subjected to the application of lime plus phosphorus (Lime+P), lime plus a compound NPK fertilizer (Lime+NPK), and an unfertilized control (Control). The effects of the treatments on soil properties, nutritional status and photosynthetic performance of the trees, and nut production, were assessed from field and laboratory analyses. Liming significantly increased soil pH and exchangeable calcium (Ca). Treatments did not significantly influence leaf P and K levels, although leaf N concentrations were significantly higher in the Lime+NPK treatment on two of the three sampling dates. In one of the trials, the average accumulated nut yield was higher in the Lime+NPK (71.7 kg tree −1) treatment compared with the control (59.6 kg tree −1) and the Lime+P (51.7 kg tree −1) treatments, although without significant differences at P < 0.05. Overall, the results show the chestnut tree to be a species tolerant of soil acidity. The results also show that the buffer capacity of the plant in regulating the nutrient concentration in the leaves seems to be higher for P than for N, and therefore, concentrations of N in the leaves require the regular application of the nutrient as a fertilizer.

show abstract

Nutritional reference values for Opuntia ficus‐indica determined by means of the boundary‐line approach

Blanco‐Macías

Magallanes‐Quintanar

Valdéz-Cepeda

et al. 2010

Z. Pflanzenernähr. Bodenk.

View full text Add to dashboard Cite

Optimum concentrations and/or sufficiency ranges of nutrients are useful for a correct diagnosis and improvement of nutrient status of cultivated plants. To develop boundary‐line approach (BLA) standards for Opuntia ficus‐indica L., a database of N, P, K, Ca, and Mg concentrations in 1‐year‐old cladodes and cladodes fresh‐matter yield was used. The BLA optimum concentrations (associated with estimated maximum yield) for O. ficus‐indica were: N = 13.1 g kg–1, P = 3.2 g kg–1, K = 44.4 g kg–1, Ca = 38.1 g kg–1, and Mg = 17.3 g kg–1. The BLA sufficiency ranges at 95% yield were 8.4–20.3 g kg–1 for N, 2.4–4.2 g kg–1 for P, 38.2–50.8 g kg–1 K, 31.8–45.2 g kg–1 for Ca, and 14.3–20.9 g kg–1 for Mg. The BLA standards are comparable to those obtained in a previous study using compositional‐nutrient‐diagnosis (CND) approach.

show abstract

Plant Analysis as an Aid in Fertilizing Orchards

Cited by 10 publications

References 46 publications

Current and next-year cranberry yields predicted from local features and carryover effects

Current and next-year cranberry yields predicted from local features and carryover effects

Large Chestnut Trees (Castanea sativa) Respond Poorly to Liming and Fertilizer Application

Nutritional reference values for Opuntia ficus‐indica determined by means of the boundary‐line approach

Contact Info

Product

Resources

About