Norms Establishment of the Diagnosis and Recommendation Integrated System at Preflowering in Pineapple (<i>Ananas comosus</i> L.) and Its Verification in Case of Nutrient Omission Trial by Two Consecutive Crops

Quoc, Khuong Nguyen; Nhi, Luu Thi Yen; Thanh, Quang Le; Thanh, Thanh Xuan Ly Ngoc; Vinh, Thuc Le

doi:10.1080/00103624.2022.2138910

Cited by 5 publications

(8 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relationship between a couple of nutrients depends on the mobility group to which they belong; as a hypothetical example, suppose that a and b are mobile nutrients, while c and d are not. The method presents the nutrients of the same group as all possible dual quotients (a/b, b/a, c/d, d/c...), and from the different groups as a product (a*c, a*d, b*c, b*d) (Sumner, 1982;Nguyen et al, 2022). The dual relationship solves the problem of concentration effect or dilution on the nutrients due to mobility or age of plant tissues.…”

Section: Conceptual Aspects Of the Dris Methodsmentioning

confidence: 99%

PLANT ANALYSIS BASED ON THE DRIS SYSTEM: PROGRAMMING INTERFACE WITH A CASE STUDY IN PLANTAIN CROP (Musa AAB)

Zapata

Albanés

Sánchez

2022

Chil. j. agric. anim. sci.

View full text Add to dashboard Cite

The Diagnosis and Recommendation Integrated System (DRIS) is a tool to evaluate the nutritional status and obtain fertilizer recommendations of several crops. Unlike other methods, DRIS works directly with farmer’s information, focusing on understanding the nutritional balance of the crop. However, the selection of indexes is long and time-consuming. The objective of this work was to develop an algorithm to estimate reference and DRIS indexes for crops in order to facilitate the use of the DRIS methodology. The construction of the algorithm included four stages, (1) theoretical bases, (2) conceptual model design, (3) algorithm implementation, and (4) validation. For a database of crop yield and foliar analyses, the developed algorithm is divided into two subsets (high and low yield), estimating nutrient ratios and variability. For leaf sample diagnosis, the algorithm compares nutritional balance with highy-ield population, generating DRIS indexes numerically and graphically. A nutrient is imbalanced if its DRIS index in the graph is outside the whiskers. The efficiency and operability of the algorithm was tested with foliar analyses of fifty plantain crops distributed in two subregions of the Antioquia Department, Colombia. The developed procedure allowed determining quantitative and graphical information of the nutrient balance in foliar samples.

show abstract

Section: Conceptual Aspects Of the Dris Methodsmentioning

confidence: 99%

PLANT ANALYSIS BASED ON THE DRIS SYSTEM: PROGRAMMING INTERFACE WITH A CASE STUDY IN PLANTAIN CROP (Musa AAB)

Zapata

Albanés

Sánchez

2022

Chil. j. agric. anim. sci.

View full text Add to dashboard Cite

show abstract

“…DRIS indices are the values calculated after DRIS norms are established. According to Khuong et al [17], DRIS indices should be determined based on the following equation:…”

Section: Dris Indicesmentioning

confidence: 99%

“…Leaf diagnosis is a complex method because it is affected by foliar age and other interactions, which directly influence nutrient uptake and distribution [14]. Various approaches are utilized to interpret the nutritional status of plants using leaf analysis, such as the identification of deficiency symptoms, determining the ratio of nutrients, or using the diagnosis and recommendation integrated system (DRIS) [17,18]. DRIS was introduced and developed by Beaufils (1957Beaufils ( , 1971Beaufils ( , and 1973) as a solution for tackling the difficulties inherent in diagnostic methods utilizing leaves [19].…”

Section: Introductionmentioning

confidence: 99%

“…DRIS was introduced and developed by Beaufils (1957Beaufils ( , 1971Beaufils ( , and 1973) as a solution for tackling the difficulties inherent in diagnostic methods utilizing leaves [19]. Currently, DRIS is an interesting method because it helps in the identification of nutrient imbalances, insufficiencies, or excesses and ranks them in order of importance to determine remedial steps [14,17,20]. DRIS has been successfully used for the evaluation of nutritional imbalances in fruit plants, such as mango [21], guava [22], bananas [23], and pineapple [17].…”

Section: Introductionmentioning

confidence: 99%

“…Currently, DRIS is an interesting method because it helps in the identification of nutrient imbalances, insufficiencies, or excesses and ranks them in order of importance to determine remedial steps [14,17,20]. DRIS has been successfully used for the evaluation of nutritional imbalances in fruit plants, such as mango [21], guava [22], bananas [23], and pineapple [17]. According to Villamil-Carvajal et al [24], DRIS norms must be developed for each crop.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Use of the Diagnosis and Recommendation Integrated System (DRIS) for Determining the Nutritional Balance of Durian Cultivated in the Vietnamese Mekong Delta

Ngoc,

Dang,

et al. 2024

Horticulturae

View full text Add to dashboard Cite

Durian is one of the most valuable and expensive fruits in Vietnam and Southeast Asia. Leaf nutritional disorders are considered to be causes of reductions in fruit yield and quality. However, studies on the nutritional balance in durian leaf are limited. In this study, we used the DRIS method for leaf limitation nutrient diagnosis at the stage 2 months before durian flowering. Our objectives were to (i) establish DRIS norms for the macronutrients (N, P, K, Ca, Mg, and S) in durian leaf and (ii) determine nutrient value ranges that are insufficient or excessive in durian production. A total of 180 leaf samples were collected and examined from 90 durian orchards cultivated on alluvial soils in the Vietnamese Mekong Delta. The results indicate that DRIS establishment for durian was highly reliable due to the significant positive correlation (r > 0.5) among nutrient indices. The limiting nutrients in durian leaf at the investigation stage were S, Mg, Ca, and P, where S and Mg were the most deficient. The optimal ranges of nutrients in durian leaf were determined and recommended in this study. Further studies are necessary to validate the efficiency of DRIS using nutrient omission trials under durian cultivation.

show abstract

Appraisal of the Diagnosis and Recommendation Integrated System and Nutrient Status of Pineapple ( Ananas Comosus L.) Growing Fields

Khuong,

Anh,

Thanh Quang

et al. 2024

Communications in Soil Science and Plant Analysis

View full text Add to dashboard Cite

Norms Establishment of the Diagnosis and Recommendation Integrated System at Preflowering in Pineapple (Ananas comosus L.) and Its Verification in Case of Nutrient Omission Trial by Two Consecutive Crops

Cited by 5 publications

References 58 publications

PLANT ANALYSIS BASED ON THE DRIS SYSTEM: PROGRAMMING INTERFACE WITH A CASE STUDY IN PLANTAIN CROP (Musa AAB)

PLANT ANALYSIS BASED ON THE DRIS SYSTEM: PROGRAMMING INTERFACE WITH A CASE STUDY IN PLANTAIN CROP (Musa AAB)

Use of the Diagnosis and Recommendation Integrated System (DRIS) for Determining the Nutritional Balance of Durian Cultivated in the Vietnamese Mekong Delta

Appraisal of the Diagnosis and Recommendation Integrated System and Nutrient Status of Pineapple ( Ananas Comosus L.) Growing Fields

Contact Info

Product

Resources

About