Compositional Nutrient Diagnosis Norms (CND) for Guava (Psidium guajava L.)

Multivariate nutrient diagnostic norms were developed for guava using compositional nutrient diagnosis (CND) through leaf nutrient concentration vs. yield data bank. CND norms for N (VN), P (VP) and K (VK) were 2.48, 0.23 and 2.13, respectively. Norms for N and K were much higher compared to P, indi...

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Autores principales:	K Anjaneyulu, H B Raghupathi, M K Chandraprakash
Formato:	article
Lenguaje:	EN
Publicado:	Society for Promotion of Horticulture - Indian Institute of Horticultural Research 2008
Materias:	nutrients diagnosis norms cnd pca guava Plant culture SB1-1110
Acceso en línea:	https://doaj.org/article/00213fde2a954f8187b3373356dfcac6
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spelling	oai:doaj.org-article:00213fde2a954f8187b3373356dfcac62021-12-02T11:20:49ZCompositional Nutrient Diagnosis Norms (CND) for Guava (Psidium guajava L.)0973-354X2582-4899https://doaj.org/article/00213fde2a954f8187b3373356dfcac62008-12-01T00:00:00Zhttps://jhs.iihr.res.in/index.php/jhs/article/view/573https://doaj.org/toc/0973-354Xhttps://doaj.org/toc/2582-4899Multivariate nutrient diagnostic norms were developed for guava using compositional nutrient diagnosis (CND) through leaf nutrient concentration vs. yield data bank. CND norms for N (VN), P (VP) and K (VK) were 2.48, 0.23 and 2.13, respectively. Norms for N and K were much higher compared to P, indicating higher requirement of these two nutrients. CND norms are multivariate norms that consider all elements, including unmeasured factors and, therefore, has higher diagnostic sensitivity. Among micronutrients, Fe requirement was much higher than all other nutrients. Interaction among different nutrients was explained by principal component analysis conducted on log-transformed data which produced four significant PCs, explaining about 73.66% of the variance. The four Eigen values added up to 8.1 denoting the four significant PCs. The first PC was positively correlated with P, Zn and R (residue, which is a reflection of dry matter accumulation in the plant) and negatively correlated with Ca, Mg, S and Fe, indicating that P and Zn behaved in one direction and the other elements in opposite direction. In the second PC, antagonistic effect of N, Fe with P and Cu was evident. In PC3, P and Mg were negatively correlated with Mn and Cu. In PC4, N and S showed their behaviour in the same direction. Diagnostic norms developed were used for identification of yield-limiting nutrients in low-yielding orchards. Thus, diagnostic norms and nutrient interactions help evolve nutrient management strategies for guava to realize higher yields and better quality.K AnjaneyuluH B RaghupathiM K ChandraprakashSociety for Promotion of Horticulture - Indian Institute of Horticultural ResearcharticlenutrientsdiagnosisnormscndpcaguavaPlant cultureSB1-1110ENJournal of Horticultural Sciences, Vol 3, Iss 2, Pp 132-135 (2008)
institution	DOAJ
collection	DOAJ
language	EN
topic	nutrients diagnosis norms cnd pca guava Plant culture SB1-1110
spellingShingle	nutrients diagnosis norms cnd pca guava Plant culture SB1-1110 K Anjaneyulu H B Raghupathi M K Chandraprakash Compositional Nutrient Diagnosis Norms (CND) for Guava (Psidium guajava L.)
description	Multivariate nutrient diagnostic norms were developed for guava using compositional nutrient diagnosis (CND) through leaf nutrient concentration vs. yield data bank. CND norms for N (VN), P (VP) and K (VK) were 2.48, 0.23 and 2.13, respectively. Norms for N and K were much higher compared to P, indicating higher requirement of these two nutrients. CND norms are multivariate norms that consider all elements, including unmeasured factors and, therefore, has higher diagnostic sensitivity. Among micronutrients, Fe requirement was much higher than all other nutrients. Interaction among different nutrients was explained by principal component analysis conducted on log-transformed data which produced four significant PCs, explaining about 73.66% of the variance. The four Eigen values added up to 8.1 denoting the four significant PCs. The first PC was positively correlated with P, Zn and R (residue, which is a reflection of dry matter accumulation in the plant) and negatively correlated with Ca, Mg, S and Fe, indicating that P and Zn behaved in one direction and the other elements in opposite direction. In the second PC, antagonistic effect of N, Fe with P and Cu was evident. In PC3, P and Mg were negatively correlated with Mn and Cu. In PC4, N and S showed their behaviour in the same direction. Diagnostic norms developed were used for identification of yield-limiting nutrients in low-yielding orchards. Thus, diagnostic norms and nutrient interactions help evolve nutrient management strategies for guava to realize higher yields and better quality.
format	article
author	K Anjaneyulu H B Raghupathi M K Chandraprakash
author_facet	K Anjaneyulu H B Raghupathi M K Chandraprakash
author_sort	K Anjaneyulu
title	Compositional Nutrient Diagnosis Norms (CND) for Guava (Psidium guajava L.)
title_short	Compositional Nutrient Diagnosis Norms (CND) for Guava (Psidium guajava L.)
title_full	Compositional Nutrient Diagnosis Norms (CND) for Guava (Psidium guajava L.)
title_fullStr	Compositional Nutrient Diagnosis Norms (CND) for Guava (Psidium guajava L.)
title_full_unstemmed	Compositional Nutrient Diagnosis Norms (CND) for Guava (Psidium guajava L.)
title_sort	compositional nutrient diagnosis norms (cnd) for guava (psidium guajava l.)
publisher	Society for Promotion of Horticulture - Indian Institute of Horticultural Research
publishDate	2008
url	https://doaj.org/article/00213fde2a954f8187b3373356dfcac6
work_keys_str_mv	AT kanjaneyulu compositionalnutrientdiagnosisnormscndforguavapsidiumguajaval AT hbraghupathi compositionalnutrientdiagnosisnormscndforguavapsidiumguajaval AT mkchandraprakash compositionalnutrientdiagnosisnormscndforguavapsidiumguajaval
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Compositional Nutrient Diagnosis Norms (CND) for Guava (Psidium guajava L.)

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