ARPN Journal of Agricultural and Biological Science       ISSN 1990-6145
   
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ARPN Journal of Agricultural and Biological Science                           October 2018 | Vol. 13  No. 10
 
Title:

Genetic variability, heritability and correlation studies in half sib recurrent families of CIMMYT maize population CZP-132011

Author (s):

Amir Sohail, Hidayatur Rahman, Quaid Hussain, Fazal Hadi, Ubaid Ullah, Waleed Khan, Muhammad Ayoub Khan, Muhammad Asad, Zarghoona Yousafzai, Sidra Sami and Salah Uddin

Abstract:

Recurrent selection is a vital selection method for improving the traits of interest in maize crop. This research was carried out to estimate genetic variability, heritability, index of variation and genotypic and phenotypic correlations among half sib recurrent families for various traits. Sixty four half sib recurrent families were evaluated in 8◊8 lattice square design with two replications at Cereal Crops Research Institute CCRI, Pirsabak during 2017. Results showed highly significant differences among the half sib families for all the studied traits. High heritability (h2 > 0.60) were recorded for all traits except plant height and ear height which exhibited moderate heritability. High index of variation (I.V > 1) was observed for all traits. After completion of one cycle of recurrent selection in half sib families, the percent gain cycle-1 was recorded negative for physio-morphic traits, while for grain yield the percent gain cycle-1 was positive. All physiological traits showed non significant negative genotypic and phenotypic correlation with grain yield except days to 50% silking. The magnitude of genotypic correlations were higher than phenotypic correlations for studied traits, which means that selection for these traits will improve grain yield. The study also observed that correlations as well as heritability were suitable as models for yield improvement and selection for best families. Traits that had higher heritability and positive correlation with grain yield may be considered as important traits in selection programme aiming to maize yield improvement and the breeder may consider these traits as main selection criteria.

 
       
 
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Title:

A comparative study of determinants of efficiency of okra production for export in Thailand

Author (s):

Pimolwan Katepan, Thamrong Mekhora, Panya Mankeb and Teerawat Sarutayophat

Abstract:

Farm size is the most widely used classification criterion in statistics and has a direct impact on the farmís technical efficiency (TE). The objectives of this research were (1) to compare the TE of okra production for export between marginal, small, medium, and large-scale farmers, and (2) to present the factors of the TE of okra production for export in Thailand to the marginal, small, medium, and large farmers. The data were collected in May and June 2017 from 250 okra farming households. This paper estimated TE by using a Stochastic Production Frontier Model and Tobit regression to investigate the factors influencing the TE. The results revealed that the marginal, small, medium, and large farmersí TE were ranked 67-98%, 36-95%, 32-96%, and 38-99%, respectively. The mean TEs were 0.87, 0.83, 0.79, and 0.75, respectively. Age was crucial factors that contributed to the TE of the marginal, small, and medium farmers. While education level was crucial factors that contributed to the TE of the marginal, and small farmers. Moreover, the findings indicated that the marginal farmers had the highest technical efficiency scores.

 
       
 
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