DIAGNOSIS AND RECOMMENDATION INTEGRATED SYSTEM (DRIS) FOR EVALUATING NUTRIENT STATUS OF COTTON (<i>GOSSIPIUM HIRSUTUM</i>)

Singh, Dhanwinder; Singh, Kuldip; Hundal, H. S.; Sekhon, K. S.

doi:10.1080/01904167.2012.636122

Cited by 16 publications

(15 citation statements)

References 7 publications

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“…This means that some features of ISH, such as their distinct patterns of environmental resistance and vegetative growth (Gomes Junior et al, 2014), at least initially, they were not remarkable enough to express different nutritional relationships from African species, a fact that facilitates the application of DRIS in areas with these cultivars. Similarly, it was found, in cotton (Gossipium hirsutum) crops, that DRIS can be applied regardless of the cultivar used (Singh et al, 2012). These results are in agreement with the proposed DRIS calculation, which, in theory, transcends the effect of the cultivar when nutrient norms are set in maximum performance populations (Reis Jr and Monerat, 2002).…”

Section: Resultssupporting

confidence: 76%

“…(Wadt et al, 1999;Silva et al, 2005), suggesting the use of specific DRIS. However, for some cotton cultivars (Gossypium hirsutum) (Singh et al, 2012) and for two age groups of cupuaçu trees Theobroma Rev Bras Cienc Solo 2017;41:e0150466 grandiflorum (Dias et al, 2010), the general DRIS, regardless of the genetic material or age, was successful for nutritional diagnosis of these species.…”

Section: Introductionmentioning

confidence: 99%

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The Use of DRIS for Nutritional Diagnosis in Oil Palm in the State of Pará

Matos

Fernandes

Wadt

et al. 2017

Rev. Bras. Ciênc. Solo

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ABSTRACT:The oil palm crop has expanded significantly in the state of Pará, which has not been followed in a proportional manner by studies aiming at increasing yield through plant nutrition. The objective of this study was to evaluate general and specific norms of the Diagnosis and Recommendation Integrated System (DRIS) for genetic materials of oil palm (African and interspecific hybrid) at two ages (young and adult plants) and evaluate possible deficiencies in fertilization and soil correction practices. The DRIS norms were composed of means, standard deviations, and coefficients of variation of bivariate, specific, and general relationships among nutrients of 144 leaf samples. The DRIS norms specific for genetic material did not differ from the general norms; however, a large number of differences were found between specific bivariate relationships for age groups, among themselves, and in relation to the general norms. The regression analysis between the nutritional balance index and yield were better explained when age groups were discriminated. In the young plants, the number of cases of stands with deficiencies followed the order Ca > Fe > B > S > Mn > K > Mg = Cu > Zn > N > P; and for adults, this order was Ca > Mn > Zn > Fe > S = B > N = Cu > K > Mg > P. The DRIS norms can be utilized in diagnostics regardless of genetic material; however, they must be specified for the age of the plant. Most of the stands showed deficiency in Ca and micronutrients, coinciding with the least used nutrients in oil palm crops in the state of Pará, as well as emphasizing the need for soil liming.

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Section: Resultssupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

The Use of DRIS for Nutritional Diagnosis in Oil Palm in the State of Pará

Matos

Fernandes

Wadt

et al. 2017

Rev. Bras. Ciênc. Solo

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“…Foliar analysis has been practiced widely for nutritional status evaluation in plant and fertilizer programs planning. It is considered like an important tool to monitor the nutrient status of plants [4]. Usually, plant nutritional status evaluation is done by sufficiency range approach.…”

Section: Introductionmentioning

confidence: 99%

“…Below it is considered as deficiency, and above it is considered as excessive. However, this critical value approach has limited applicability due to the variation caused by the time of sampling, stages of plant growth, specific position of leaf tissue sampled, only the evaluation of the deficiency or the excess of a single nutrient at a time [4,5]. Then, the use of this approach for the evaluation of crops nutritional status is questionable since it fails to measure nutrient balance and do not consider various interactions between nutrients.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast, the DRIS method, proposed by Beaufils [6], is based on the comparison of dual relationships in samples with the standard or the norms of values rather than the individual concentration of nutrient to interpret leaf tissues analysis. Likewise, nutrient ratios in leaf tissues are not influenced by the time of sampling, stage of plant growth and with the position of the plant parts [4]. In Benin, DRIS has been found appropriate to diagnose nutrient status of pineapple [7], groundnut [8], Sorghum [9], yam [10], maize [11], cotton [12].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Nutritional Status of Rainfed Rice in Benin Using Diagnosis and Recommendation Integrated System (DRIS)

Anago

Dagbénonbakin²,

Oussou³

et al. 2020

IJPSS

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The fertilizer used in Benin by rainfed rice farmers, doesn’t meet the required expectation because of lack of many essential agronomic information to formulate the appropriate nutrient compositions. Despite all the advances in improvement of rice production, its yields in traditional cropping systems are very low and the only inputs of Nitrogen, Phosphorous and Potassium do not effectively increase rice yields. The purpose of this study was to assess nutritional status of rainfed rice crops in Benin. The study covered the rainfed rice production areas of Benin Center where 72 leaves samples were taken on 3600 plants from the farmer fields. The concentrations of nitrogen, phosphorus, potassium, calcium, magnesium, iron and zinc were determined in leaves samples. The preliminary DRIS (Diagnosis and Recommendation Integrated System) norms for the rainfed rice growing in the Benin center were selected for various nutrient ratios obtained from the high yield population of the rainfed rice crop. The yields of the two subpopulations were significantly different (p < .0001). The nutrient requirement for the rainfed rice production was ranked as N> Fe> Zn>K>Mg>P>Ca. The DRIS-derived sufficiency ranges for N, P, K, Ca and Mg from the nutrient indexing survey of the rainfed rice plants grown in Benin center were 1.91-3.66, 0.30-0.64, 2.00-3.89, 0.37-1.05 and 0.18-0.38g kg-1 respectively. The limits for Fe and Zn were 89.27-206.3 and 8.21-24.91 mg kg-1 respectively. On the basis of sufficiency ranges, 4.22, 57.75, 66.20, 56.34, 45.07, 46.50 and 29.57% of samples were low in N, P, K, Ca, Mg, Fe and Zn respectively. The DRIS norms put emphasis on nutrient balance and help to differentiate between healthy and unhealthy rice plants from the nutrition status. However, it needed further researches to determine the amount of the fertilizers to supply in order to maintain nutrient balance.

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Nutrient Management in Cotton

Xiao

Yin

2019

Cotton Production

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DIAGNOSIS AND RECOMMENDATION INTEGRATED SYSTEM (DRIS) FOR EVALUATING NUTRIENT STATUS OF COTTON (GOSSIPIUM HIRSUTUM)

Cited by 16 publications

References 7 publications

The Use of DRIS for Nutritional Diagnosis in Oil Palm in the State of Pará

The Use of DRIS for Nutritional Diagnosis in Oil Palm in the State of Pará

Assessment of Nutritional Status of Rainfed Rice in Benin Using Diagnosis and Recommendation Integrated System (DRIS)

Nutrient Management in Cotton

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