Leaf Analysis in Citrus: Interpretation Tools

Menino, Regina

doi:10.1007/978-94-007-4171-3_5

Cited by 7 publications

(3 citation statements)

References 58 publications

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“…Each form of testing may identify latent deficiencies (hidden hunger) which limit the crop production, while the plants exhibit no obvious symptoms of deficiency. Distinction among the above three types of the testing is necessary, because of the variation in intensity and the pattern of sampling for each method of testing (Menino, 2012;Srivastava and Hota, 2020).…”

Section: Leaf Analysismentioning

confidence: 99%

Citrus nutrition: An Indian perspective

SRIVASTAVA¹

2022

APSR

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Diagnosis and management of nutrient constraints are the two important pillars of sound citrus fertilizer program, although its history in India is as old as cultivation of citrus. Of the different diagnostic tools (leaf nutrient standards, soil thresholds of soil available nutrients, metalloenzyme activity, inflorescence analysis, juice nutrient standards, xylem sap analysis); leaf and soil-based nutrient standards have established their superiority over the rest of the diagnostic methods. Optimum leaf nutrients standards developed for different commercial cultivars in India have further warranted the necessity of identifying nutrient constraints through cultivar specific diagnostics in order to inflict precision diagnosis. Similar observations were envisaged through optimum soil fertility limits suggested for Indian citrus cultivars, primarily governed by prevailing soil fertility constraints. Multi-location nutrient specific field response studies lacked heavily on the point of uniformity in yield and quality improvements when replicated at other locations. Site specific nutrient management studies demonstrated soil type-based fertilization, suggesting the fertilizers to be tailored as per canopy size within an orchard to derive rationality in fertilizer use within an orchard. Fertigation has further reduced the optimum fertilizer requirement by 30-40%, in addition to microbial consortium-based integrated nutrient management saving 30% cut from conventional RDF. Many other significant advances have taken place to improve the fertilizer-use-efficiency e.g. sensor-based variable rate application, fertigation using magnetized irrigation, open field hydroponics, and dual purpose microbially loaded substrate (organic manure) enriched with limited inorganic fertilizers collectively known as INM a plausible alternative.

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Section: Leaf Analysismentioning

confidence: 99%

Citrus nutrition: An Indian perspective

SRIVASTAVA¹

2022

APSR

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“…For Zaghloul, cultivar date palms grown in Egypt, Marzouk [38] demonstrated that foliar nutrient concentrations varied within the following intervals (units of g kg −1 ): (21.3-24.4) for N, (2.2-3.4) for P, (16.0-19.8) for K, (1.07-1.44) for Ca, and (2.2-3.4) for Mg, and (units of mg kg −1 ): (103-134) for Fe, for Zn, and (30-50) for Mn. Locally or regionally developed norms produce a higher degree of precision because many factors related with yield or date quality may change: cultivar, rootstock, climate, soil, and crop management [15,16,39]. Although it has been criticized [40,41], the CVA approach remains the most commonly used to diagnose foliar status.…”

Section: Critical Value Approach (Cva)mentioning

confidence: 99%

“…Bendaly Labaied et al [15] found that the norms developed specifically for Tunisian cultivars of mandarins are different from those developed in other countries because of the differences in cultivation practices, cultivar varieties, climate and soil conditions. Establishing foliar analysis norms can be based on a wide variety of interpretation tools such as the Critical Value Approach (CVA), the Diagnosis and Recommendation Integrated System (DRIS) and the Compositional Nutrient Diagnosis (CND) [16]. The CVA method is a conventional univariate method that is widely used and assumes that all nutrients are available and do not constitute limiting factors for the yield.…”

Section: Introductionmentioning

confidence: 99%

Nutrient Diagnosis Norms for Date Palm (Phoenix dactylifera L.) in Tunisian Oases

et al. 2020

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Several studies have pointed out the promising use of nutritional diagnosis methods for the determination of optimum nutrient contents in plant tissues. The present investigation was carried out in different oases in Southern Tunisia to determine reference values for the interpretation of leaf analyses of date palm (Phoenix dactylifera) Deglet Nour cultivar with the Critical Value Approach (CVA) and the Compositional Nutrient Diagnosis (CND). A database (n = 100) of yield and mineral concentrations taken from date palm leaflets in October, at the maturity stage of dates, was used. The yield cut-off between low-yield and high-yield subpopulations, selected from cumulative variance ratio functions across survey data, was 76 kg palm−1 and the global nutrient imbalance index (CNDr2) was 10.06. Critical CND nutrient indices were found to be symmetrical around zero as follows: (1.59; +1.59) for IN, (−0.44, +0.44) for IP, (−0.63, +0.63) for IK, (−0.94, +0.94) for ICa, (−1.05, +1.05) for IMg, (−0.80, +0.80) for IFe, (−0.74, +0.74) for ICu, (−0.80, +0.80) for IB, (−0.93, +0.93) for IZn, (−1.04, +1.04) for IMn, and (−1.03, +1.03) for the residual value. Compared to CND, the CVA approach shows weak detection of the nutrients that cause nutritional imbalance. CND indices revealed, except for N, the presence of nutrient imbalances and the necessity to correct the mineral nutrition of date palm in the Kebeli oases.

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Long-term fertilization increases soil nutrient accumulations but decreases biological activity in navel orange orchards of subtropical China

Wan

Yang

et al. 2016

J Soils Sediments

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Leaf Analysis in Citrus: Interpretation Tools

Cited by 7 publications

References 58 publications

Citrus nutrition: An Indian perspective

Citrus nutrition: An Indian perspective

Nutrient Diagnosis Norms for Date Palm (Phoenix dactylifera L.) in Tunisian Oases

Long-term fertilization increases soil nutrient accumulations but decreases biological activity in navel orange orchards of subtropical China

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