Growth and nutritional disorders of coffee cultivated in nutrient solutions with suppressed macronutrients

The objective was to evaluate the effect of omitting macronutrients in the nutrients solution on growth characteristics and nutritional status of coffee. The treatments were complete nutrients solutions and solutions with nutrient omission: N (nitrogen), P (phosphorus), K (potassium), Ca (calcium), Mg (magnesium) and S (sulfur). The experiment was carried out under greenhouse conditions with 3 replicates in a completely random design. Plant height, number of leaves per plant, stem diameter, relative chlorophyll index, photosynthesis rate, stomatal conductance, transpiration, carbon dioxide (CO₂) concentration, dry matter, content levels of macronutrients in plant aerial part and root system, and nutritional disorders were evaluated. Macronutrients suppression affected nutrients concentration in many plant parts, inducing the appearance of symptoms characteristic of each nutrient. The most limiting nutrients for coffee plants development were nitrogen and calcium, reflected in the lower dry matter accumulation and nitrogen the most required.     

Nutritional standards and nutritional diagnosis of the Conilon coffee plants in phenological growth stages

The objective of this study was to establish a nutrient sufficiency range and DRIS standards of Conilon coffee grown in southern Bahia, Brazil for the pre-flowering and grain-filling stages and to perform a nutritional diagnosis of these plants using different methods. The collections were performed in 24 Conilon coffee farm fields to establish the leaf nutritional standards, and 278 samples were collected to the nutritional diagnosis. The nutritional diagnosis was performed by using the sufficiency range criterion and the DRIS method. The nutrient sufficiency range and the DRIS standards must be specific to each phenological stage of the Conilon coffee plants. The leaf concentrations of calcium (Ca), sulfur (S), and boron (B) were higher in the pre-flowering stage; and the leaf concentrations of nitrogen (N), potassium (K), copper (Cu), and zinc (Zn) were higher in the grain-filling stage.     

Diagnosis and Recommendation Integrated System for Monitoring Nutrient Status of Mango Trees in Submountainous Area of Punjab,India

Abstract

The Diagnosis and Recommendation Integrated System (DRIS) was used to identify nutrient status of mango fruit trees in Punjab, India. Standard norms established from the nutrient survey of mango fruit trees were 1.144, 0.126, 0.327, 2.587, 0.263, 0.141% for nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), and sulfur (S), and 15, 3.5, 145, 155, and 30 mg kg^?1, respectively, for zinc (Zn), copper (Cu), iron (Fe), manganese (Mn), and boron (B) in dry matter. On the basis of DRIS indices, 16, 15, 12, 17, and 16% of total samples collected during nutrients survey of mango trees were low in N, P, K, Ca, and Mg, respectively. For micronutrients, 19, 18, 12, 20, and 6% samples were inadequate in Zn, Cu, Fe, Mn, and B, respectively. DRIS‐derived sufficiency ranges from nutrient indexing survey were 0.92–1.37, 0.08–0.16, 0.21–0.44, 1.71–3.47, 0.15–0.37, and 0.09–0.19% for N, P, K, Ca, Mg, and S and 11–19, 1–6, 63–227, 87–223, and 16–44 mg kg^?1 for Zn, Cu, Fe, Mn, and B, respectively.     

Monitoring Nutrient Status of Guava Fruit Trees in Punjab,Northwest India through the Diagnostic and Recommendation Integrated System Approach

Abstract

The Diagnostic and Recommendation Integrated System (DRIS) was employed for interpreting nutrient analyses of leaf tissue of guava fruit trees (Psidium guajava L.) cultivated in Punjab, northwest India. Standard reference DRIS norms were established for various nutrient ratios and used to compute DRIS indices, which assessed nutrient balance and order of limitation to yield. The DRIS evaluation and sufficiency range approach were equally effective and in agreement for diagnosing deficiencies of nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), sulfur (S), manganese (Mn), zinc (Zn), and copper (Cu). The results also show that the position of leaf tissue sampled does not have a major effect on the DRIS diagnosis. Nutrient sufficiency ranges derived from DRIS norms were 1.41–1.65, 0.10–0.17, 0.51–0.97, 1.16–2.12, 0.31–0.51, 0.18–0.28% for N, P, K, Ca, magnesium (Mg), and S and were 105–153, 58–110, 15–29, and 6–16 mg Kg^?1 for iron (Fe), Mn, Zn, and Cu, respectively. According to these sufficiency ranges 35, 62, 51, 75, 70, and 68% of samples were sufficient, and 4, 29, 36, 9, 10, and 22% of samples were low in N, P, K, Ca, Mg, and S, respectively. More than 50 and 2% of the guava trees selected for sampling was found to deficient in N and P, respectively. For micronutrients, 15, 6, and 7% of samples were found to be low in Mn, Zn, and Cu.     

Monitoring Nutrient Status for Maize in Northwestern India through Diagnostic and Recommendation Integrated System Approach

Diagnostic and recommendation integrated system (DRIS) norms were established for various nutrient ratios obtained from the high-yield population of maize cultivated in submountainous areas of Punjab and were used to compute DRIS indices. Nutrient sufficiency ranges derived from DRIS norms were 1.67–3.12, 0.23–0.43, 0.89–2.56, 0.21–0.50, 0.1–0.32, and 0.10–0.20% for nitrogen (N), phosphorous (P), potassium (K), calcium (Ca), magnesium (Mg), and sulfur (S) and were 181–278, 27–75, 14–29, and 4–8 mg kg^?1 for iron (Fe), manganese (Mn), zinc (Zn), and copper (Cu), respectively. According to these DRIS-derived sufficiency ranges, 95, 94, 95, 87, 90, and 86% of samples were sufficient whereas 4, 3, 4, 2, 2, and 2% of samples were low in N, P, K, Ca, Mg, and S, respectively. In micronutrients, 80, 90, 85, and 68% of samples were sufficient, whereas 36 17, 10, 14, and 31% samples had excessive Fe, Mn, Zn, and Cu, respectively. Thus, the DRIS approach can be employed to obtain the fertility status of the soil, and the amount of each nutrient can be computed for balanced utilization of fertilizers.     

Nutrient Sufficiency Ranges in Mango Using Boundary-Line Approach and Compositional Nutrient Diagnosis Norms in El-Salhiya,Egypt

Nutrient sufficiency ranges are useful for diagnosing and correcting plant nutritional status in order to optimize yield and protect the environment. This study was conducted to determine nutrient sufficiency ranges for nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), iron (Fe), manganese (Mn), zinc (Zn), and copper (Cu) in mango trees grown in El-Salhiya, Egypt, through boundary-line approach (BLA) and compositional nutrient diagnosis (CND) technique. For this purpose, foliar samples from 310 mango trees were collected during two successive years from the study area and fruit yields were recorded. The nutrient sufficiency ranges generated by BLA were 0.744–1.430% for N, 0.074–0.142% for P, 0.543–1.045% for K, 1.366–2.653% for Ca, 0.155–0.305% for Mg, 389–1148 ppm for Fe, 23.1–60.5 ppm for Mn, 28.4–56.3 ppm for Zn, and 2.37–12.10 ppm for Cu. The CND-derived nutrient sufficiency ranges were 0.917–1.215% for N, 0.066–0.106% for P, 0.585–0.943% for K, 1.003–2.077% for Ca, 0.112–0.378% for Mg, 277.5–849.2 ppm for Fe, 27.9–82.4 ppm for Mn, 29.2–44.6 ppm for Zn, and 2.42–11.37 ppm for Cu. The optimum nutrient concentrations generated from BLA were in general comparable to those obtained using CND technique. Only Ca and Fe optimum concentrations showed poor match. Seven significant nutrient interactions were strongly evidenced through principal component analysis of the computed CND indexes. The positive interaction was P-K, while the negative interactions were P-Mg, K-Mg, Ca-Zn, P-Fe, K-Fe, and Zn-Cu.     

Monitoring Nutrient Status of Ber (Zizyphus mauritiana) Fruit Trees in Semi-arid and Arid Regions of Northwest India through Diagnostic Recommendation and Integrated System Approach

The Diagnostic Recommendation and Integrated System (DRIS) was employed to interpret nutrient analyses of leaf tissues from ber fruit tree orchards grown in semi-arid and arid areas of Punjab in northwest India. The DRIS norms were established for various nutrient ratios obtained from the high-yield population and were used to compute DRIS indices, which assessed nutrient balance and their orders of limitation to yield. Nutrient sufficiency ranges derived from DRIS norms were 0.688–1.648%, 0.184–0.339%, 1.178–1.855%, 1.064–1.768%, 0.234–0.391%, and 0.124–0.180% for nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), and sulfur (S) and were 55–205, 26–80, 17–33, and 5–11 mg kg^?1 for iron (Fe), manganese (Mn), zinc (Zn), and copper (Cu), respectively. According to these DRIS-derived sufficiency ranges, 79%, 76%, 76%, 75%, 84%, and 72% of samples were sufficient, whereas 13%, 15%, 21%, 14%, 7%, and 18% of total samples were low in N, P, K, Ca, Mg, and S, respectively. For micronutrients, 84%, 85%, 77%, and 86% of samples were sufficient, whereas 6%, 3%, 8%, and 2% of samples were low in Fe, Mn, Zn, and Cu, respectively.     

“燕山早丰”板栗叶片DRIS营养诊断研究

通过对23个代表性栗园叶片矿质营养分析,采用诊断施肥综合法（DRIS）对迁西板栗 燕山早丰（Castanea mollissima cv. zaofeng）进行叶片营养诊断,旨在为迁西燕山早丰的营养诊断和平衡施肥提供参考。结果表明,1）迁西燕山早丰叶片N、P、K、Ca、Mg、Fe、Mn、Cu、B的适宜含量分别为 （1.9970.169）%、（0.1300.012）%、（0.5710.059）%、（1.2950.112）%、（0.6790.075）%、685.87576.159 mg/kg、593.780131.690 mg/kg、 12.7261.507 mg/kg、 43.4187.889 mg/kg。 2）初步制定了DRIS指数分级标准,提出了燕山早丰板栗园N、P、K、Ca、Mg、Fe、Mn、Cu、B的DRIS指数适宜范围分别为: -2.267 ~1.894、-2.157~ 2.108、-2.080~ 2.450、-1.719~1.224、-3.960~2.962、-1.807 ~1.510、 -3.002~4.079、 -0.826~0.943、 -2.127~2.773。3）不同地区代表性栗园的养分需求顺序不同,养分不平衡指数（NII）与板栗园产量间呈极显著负相关关系（P0.01）,迁西县西北和西南地区的板栗园普遍存在Mn缺乏的问题。4）相关分析显示,7月中旬叶片矿质元素间的正相关和负相关关系均未达到显著水平（P0.05）,是夏季追肥的理想时期,可避免因元素间拮抗作用导致的肥效损失。     

Spatial Variability Studies in Banana for Identification of Nutrient Imbalance Using Diagnosis and Recommendation Integrated System

Spatial variability of soil properties and accompanying variability in plant nutrient concentrations in a banana growing enterprise were mapped using Geographic Information Service (GIS) technique to test the diagnostic sensitivity of Diagnosis and Recommendation Integrated System (DRIS) system. Variogram models of soil properties indicated that most of the properties exhibited definable spatial structures. The pH, available nitrogen (N), calcium (Ca), magnesium (Mg), iron (Fe), manganese (Mn) and zinc (Zn) showed strong spatial dependence, whereas available phosphorus (P), potassium (K), and sulfur (S) showed moderate dependence. Most of the plant nutrients exhibited higher nugget/sill ratio indicating often mismatch between soil available nutrient and plant nutrient concentrations. DRIS indices showed high diagnostic sensitivity for N, P, K, Ca, and Fe. Application of GIS for nutrient mapping along with DRIS was found useful for identification of yield limiting nutrients in soil and plant for developing nutrient management strategies.