Fertilization response likelihood for the interpretation of leaf analyses

Maia, Celsemy Eleutério

doi:10.1590/s0100-06832012000200013

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…Maize ear leaf, as one of the sites for greater metabolic activity 17 , 18 , has been identified as a useful organ for diagnosing maize nutritional imbalances and guide for fertilizer recommendation 19 . The use of maize ear leaf for nutrient diagnosis is based on the established finding that the level of nutrients in the leaf is directly related to nutrient supply and not directly to nutrient concentrations in the soil 20 . However, plant nutrient content is a composite effect of many factors that interact to affect it.…”

Section: Introductionmentioning

confidence: 99%

Understanding nutrient imbalances in maize (Zea mays L.) using the diagnosis and recommendation integrated system (DRIS) approach in the Maize belt of Nigeria

Aliyu

Huising

Kamara

et al. 2021

Sci Rep

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Low nutrient use efficiency in maize as a result of imbalanced nutrition has been reported to drastically reduce yield. We implemented a nutrient omission experiment to assess the effect of nutrient application on maize yield and nutritional balance. Maize ear leaves were analyzed for nutrients, to identify nutrient balance status using the Diagnostic and Recommendation Integrated System (DRIS) approach. Results indicated that omission of N or P resulted in highly imbalanced DRIS indices respectively, and significantly lower grain yield. A strong inverse relationship between K ear leaf content with DRIS index suggests that K application negatively increases K imbalance in many situations. Imbalances of Mg, Ca and Cu were more associated with higher yielding treatments. A Which-Won-Where result show that nutrient imbalances in the diagnosis were systematically frequent when N was omitted. All the diagnosed nutrients were imbalanced even under the highest yielding NPKZn treatment; indicating further opportunity for yield increase with more balanced nutrition. Balanced nutrition of maize in the maize belt of Nigeria should target application of varying rates of N, P, K, Mg, S and Zn, depending on the soil conditions. But, because of complexities of nutrient interactions during uptake, it is hardly possible to realize a balanced nutrition. However, differentiating the application of antagonistic nutrients into foliar or soil-based methods is recommended for a more balanced maize nutrition.

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Section: Introductionmentioning

confidence: 99%

Understanding nutrient imbalances in maize (Zea mays L.) using the diagnosis and recommendation integrated system (DRIS) approach in the Maize belt of Nigeria

Aliyu

Huising

Kamara

et al. 2021

Sci Rep

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“…. These results suggest that the samples adequately represent the variation of the study area, a requirement for the development of DRIS norms (Maia, 2012).…”

Section: Resultsmentioning

confidence: 78%

Dris norms for the rubber clone fx3864 in the eastern plains of Colombia

Pardo

Camacho-Tamayo

Bernal

2013

Rev. U.D.C.A Act. & Div. Cient.

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The present study aimed to establish the preliminary diagnosis and recommendation integrated system (DRIS) norms for the rubber tree clone FX3864 (Hevea brasiliensis) under the conditions of the Colombian Eastern Plains for the elements N, P, K, Ca, Mg, Na, S, Fe, Cu, Zn and B. For this purpose, 77 foliar samples were taken from a 10-to 12-year-old commercial crop. The element ratios that contributed the greatest variance between high-and low-productivity populations were selected for conversion into norms. Of the 132 possible ratios, 66 were selected, with ratios including P/N, N/K and NXCa proving most important. The most limiting nutrients were K and N when deficient and Ca and S when in excess.

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“…Therefore, to effectively diagnose limiting plant nutrients, soil test needs to be complemented with plant tissue nutrient diagnosis (Roy et al 2006;Mugo et al 2020). Plant tissue nutrient diagnosis is based on the fact that maximum yields are associated with an optimum concentration of nutrients in the plant tissue (Maia 2012;Mangale et al 2016). But because nutrient concentration in plant tissues is growth stage dependent (Reuter et al 1997), and also affected by the availability of other nutrients (nutrient interaction), nutrient diagnosis based on single nutrient concentration (absolute concentration), e.g., the case of critical value approach and su ciency range, cannot be con dently applied to diagnose plant nutrient disorder (Beau ls 1987).…”

Section: Introductionmentioning

confidence: 99%

Identification of soil properties influencing DRIS indices of maize in the savannas of northern Nigeria

Aliyu¹,

Kamara²,

Huising³

et al. 2022

Preprint

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AimsImproper nutrient management reduces yield and affects the nutrient status of crops. This study aimed at diagnosing nutrient limitation in maize.MethodsA three-year multi-location (348 sites) nutrient experiments were conducted in randomized blocked design to analyse nutrient limitations for maize production under conventional fertilizer recommendation system in Nigeria using DRIS and to identify soil factors that influence DRIS indices using random forest model. DRIS indices for nutrients were calculated from the results of ear leaf samples collected from the experimental plots. The DRIS indices were summed, and used to cluster the plots using k-means cluster algorithmResultsResults show large differences in average yield between the clusters. The clusters also differed based on frequency to which nutrients are most limiting. B was the most limiting in cluster one and three, Mn in cluster two and K in cluster four. Random forest results show that soil pH, B and Mg had the largest influence on DRIS indices in cluster one. DRIS indices were most influenced by soil N and B in cluster two. To lesser extent, soil contents of Fe, K, Mg and S also influenced DRIS indices in cluster two. Soil K, B and Zn were the most significant factors that influenced DRIS indices in cluster four. Bulk Density, Fe, Na, ECEC, and organic carbon had a moderate influence on the indices in this cluster.ConclusionsNutrient limitation in plants can be diagnose using DRIS method. Soil properties have a definite influence on maize nutrient status.

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Fertilization response likelihood for the interpretation of leaf analyses

Cited by 9 publications

References 11 publications

Understanding nutrient imbalances in maize (Zea mays L.) using the diagnosis and recommendation integrated system (DRIS) approach in the Maize belt of Nigeria

Understanding nutrient imbalances in maize (Zea mays L.) using the diagnosis and recommendation integrated system (DRIS) approach in the Maize belt of Nigeria

Dris norms for the rubber clone fx3864 in the eastern plains of Colombia

Identification of soil properties influencing DRIS indices of maize in the savannas of northern Nigeria

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