Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange.

The objective of this work was to evaluate five nonparametric selection indices for the selection of hybrid citrus rootstocks grafted with 'Valência' sweet orange, using horticultural traits relevant for the juice processing industry. Forty-six rootstocks were evaluated in a randomized complete block design, with three replicates and five trees in the plot, in the period from 2009?2015, in a rainfed cultivation. The means of the variables plant height, accumulated fruit yield, fruit yield efficiency, total soluble solids concentration, juice yield, and drought-tolerance were used to calculate the following indices: multiplicative index (IEi), sum of classification (IMMi), genotype-ideotype distance (DiI), and ranking indices (IRKi, based on simple means; and IRKii, based on linear normalization). The indices were efficient to classify the hybrids in relation to general performance. Spearman?s correlation showed a high similarity between most nonparametric indices, notably between IRKi and IRKii. The ranking indices, mainly IRKii, provide a more coherent classification of the hybrids, which allows of the selection of more productive and drought-tolerant rootstocks to produce high-quality fruit for processing.

Bibliographic Details

Main Authors:	COSTA, D. P., RIBEIRO, L. de O., COELHO FILHO, M. A., LEDO, C. A. da S., STUCHI, E. S., GIRARDI, E. A., GESTEIRA, A. da S., SOARES FILHO, W. dos S.
Other Authors:	DANILO PEREIRA COSTA, UESC; LUCAS DE OLIVEIRA RIBEIRO, UFRB; MAURICIO ANTONIO COELHO FILHO, CNPMF; CARLOS ALBERTO DA SILVA LEDO, CNPMF; EDUARDO SANCHES STUCHI, CNPMF; EDUARDO AUGUSTO GIRARDI, CNPMF; ABELMON DA SILVA GESTEIRA, CNPMF; WALTER DOS SANTOS SOARES FILHO, CNPMF.
Format:	Artigo de periódico biblioteca
Language:	Ingles English
Published:	2020-12-07
Subjects:	Porta Enxerto,
Online Access:	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127722 https://doi.org/10.1590/S1678-3921.pab2020.v55.01592.
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