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Evaluation of some advanced soybean (Glycine max (L.) Merr.) genotypes using cultivar performance index.

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International Journal of Research and Innovation in Applied Science (IJRIAS) | Volume VI, Issue III, March 2021|ISSN 2454-6194

Evaluation of some advanced soybean (Glycine max (L.) Merr.) genotypes using cultivar performance index.

Shaahu A1, Vange 2, Msaakpa T. S3, Ochigbo A.E4, Okoh J.O5,
1Soybean Research Programme, National Cereals Research Institute, Badeggi, Niger State, Nigeria
2,3,4,5Plant Breeding and Seed Science, Federal University of Agriculture, Makurdi, Benue State, Nigeria

IJRISS Call for paper

Abstract:- In discriminating means that are statistically significant, agriculturist mostly use LSD, DMRT, t-test, z-test, stability analysis etc in selecting the best genotype from trial. The presence of gxe interaction necessitates the need for multilocational trials in order to select stable/adapted and superior genotypes for release. Fifteen soybean genotypes were examined across five locations in 2018 cropping season using performance index approach. The genotypes NCRI SOYAC79 and NCRI SOYAC5 were the most outstanding across the five locations. Whereas NCRISOY AC41 and NCRISOY AC47 recorded relatively low performance index and zero P value.

Key words: Soybean, genotypes, performance index, genotypes by environment interactions, stability and adaptation

Introduction

Plant breeders enhance the value of food crops, by improving their yield and the nutritional quality of their products, for healthy living of humans Acquaach (2012). They use various technologies, methodologies and statistical analysis to achieve target and directional changes in the nature of plants.
Whether conventional or unconventional breeding method, the main objective is to register and release out standing/superior genotypes, also to ensure that credible and best cultivars are introduced to the public for general cultivation. The DUS and VCU tests must be ascertain before registration and release.
Planned and unplanned pair comparison is the simplest and most commonly used in agricultural research Gomez and Gomez (1984). The LSD test is most appropriate for making planned pair comparisons but strictly speaking, is not valid for comparing all possible pairs of means, especially when the number of treatment is large. The usual way of data presentation to identify superior genotypes, is to arrange the genotype means in order of descending magnitude. Any two means not differing statistically significant are either underscored by the same line or signed by the same letter. Likewise, any two means statistically not significant are not underscored by the same line or signed by different small letter. This data arrangement although universally established, lacks simplicity and as the number of means increases, discrimination by the eye becomes problematic Fasoulas (1983). The objective of this work is to evaluate the performance of soybean genotypes using an alternative and simple approach called performance index.





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