fagr_SALWA . HASSANEIN_4200016 by keralaguest


									in 1995, and between straw yield and seed yield (r=0.59) in 1994. The
regression coefficient (b) indicated that for each day that flowering
and maturity were delayed, there were increases of 214 Kg/ha and 734
Kg/ha straw yields, respectively. A 1-cm increase in plant height
resulted in a 277 Kg/ha increase in straw yield > Results indicated that
plant height could be used for indirect selection for increased biomass.
Seed yield can also be improved by selecting for larger vegetative
biomass while keeping harvest index constant

   Sakar (1998) evaluated 6 high yielding lentil cultivars in 1995/96
and 1996/97 seasons in Turkey. He found that Flip 87-53L and Syrian
96 produced the highest seed yield per plant. Path analysis indicated
that high cluster and pod number on plants with a high biological yield
was needed for high seed yield. He mentioned also that high harvest
index and early flowering also needed to be taken into consideration.

   Ezzat and Ashmawy (1999) found positive and highly significant
correlation between seed yield/plant and each of plant height, number
of pods and number of seeds/plant, whereas days to 50% flowering
and days to maturity were highly significant and negatively correlated
with seed yield/plant.

   Singh-Mohar et al. (1999) studied the relationships among lentil
characters of 25 lentil genotypes grown in India They reported that
days to 50% flowering, cluster/plant, pods/cluster, seeds/pod and
harvest index had positive correlation with seed yield.

   Selim (2000) studied correlation among some lentil characters on
24 lentil genotypes. He found positive and significant correlation seed
yield and each of numbers of pods and seeds/plant, days to flowering,
maturity and plant height. While seed yield was correlated negatively
and significantly with 100-seed weight, seeding emergence and
number of branches

   Om and Gupta (2001) studied the correlation and path analysis of
yield and yield-contributing characters at two different locations using

28 advanced elite genotypes of lentil selected from macrosperma x
microspema crosses. Harvest index, pods per plant. And 100-seed
weight showed positive and significant correlation with seed yield.
Path analysis revealed that harvest index, biological yield per plant.
Fertile nodes per plant and days to maturity exhibited large direct
effects on seed yield. Therefore, selection for harvest index, biological
yield per plant, fertile nodes/plant and delayed maturity could enhance
the seed yield in such material.

   Raslan (2001) studied the correlation among lentil characters in
109 F4 Families in Upper Egypt, he found high correlation between
seed yield/plant and each of biological yield (74%) and number of
pods/plant (82%) and intermediate value with harvest index (62%).
Weak genotypic correlations between seed yield/plant and each of
plant height (14%) and number of branches/plant (20%) were

    Kishore and Gupta (2002) reported that seed yield/plant showed
significant positive association with biological yield/plant, harvest
index, seeds/pod, 100-seed weight and days to 50% flowering in both
F3 and F4 generations in almost all the crosses. Crosses involving
Precoz and PL–639 as one of the parents were promising. Crosses L-
4145 x PL- 639, Precoz x PL-639, Vipasha x PL- 639 and Precoz x L-
259 were with higher transgressive segregates. About 15% and 10%
of the progenies gave higher yield over the better parent and the best
check. Respectively 7% bold seeded progenies were identified in the
population with nine progenies having both high yield and bold seeds.

    Hamdi et al. (2003 a) calculated correlation and path analyses for
24 lentil genotypes grown in three environments in Egypt during the
1997/98 and 1998/99 (Sids research station) and 1998/99 (Giza
research station) seasons. Season and location showed major effects
on the performance of genotypes. Seed yield was positively and
significantly correlated with pod and seed numbers, plant height and
number of branches/plant, and negatively with flowering duration.
Day to 50% flowering was significantly correlated with days to 100%

flowering, 50 and 100% poding and days to maturity, indicating that
selection for early flowering (50% flowering) is sufficient to identify
earliness in poding and maturity and no need to measure other
earliness traits to save time and cost. Path analysis revealed that
number of seeds/plant had the highest direct and indirect effects on
seed yield followed by pods/plant. But as yield component selection
has been unsuccessful in the past, probably because of yield
component compensation, and measuring yield is much less time–
consuming than counting/measuring components. Thus selection for
yield components is not justified.


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