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| ARPN Journal of Agricultural and Biological
Science October 2018 | Vol. 13 No.
10 |
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Title: |
Genetic variability,
heritability and correlation studies in half sib recurrent
families of CIMMYT
maize population CZP-132011 |
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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 |
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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 |
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Author (s): |
Pimolwan Katepan, Thamrong
Mekhora, Panya Mankeb and Teerawat Sarutayophat |
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Abstract: |
Farm size is the most widely
used classification criterion in statistics and has a direct
impact on the farm’s 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
farmers’ 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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