Citrullus lanatus (Thunb.) Matsum. & Nakai - Cucurbit Breeding ...
Citrullus lanatus (Thunb.) Matsum. & Nakai - Cucurbit Breeding ...
Citrullus lanatus (Thunb.) Matsum. & Nakai - Cucurbit Breeding ...
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thumped (Maynard, 2001). Weights were recorded by approximation to the nearest pound. The data were<br />
transformed to kilograms before statistical analysis.<br />
The fruit of the giant-fruited parents in the family 'Weeks NC Giant' × 'Minilee' at Kinston were<br />
smaller than expected, possibly due to the presence of problems of water drainage in the field during fruit<br />
development. Therefore, the data from those families were presented in the tables , but were considered<br />
missing data for the calculation of means by location and overall means.<br />
We tested the F 2 data for homogeneity of variances using Bartlett's method (Ostle and Malone, 1988;<br />
Steel et al., 1997). Since the variances were heterogeneous, we analyzed the data by family and location.<br />
Phenotypic (P), environmental (E), genotypic (G), and additive (A) effects were estimated from<br />
generation variances as follows (Warner, 1952; Wright, 1968):<br />
[ ]<br />
! 2 ( P)<br />
= ! 2 ( F2 ) ! 2 ( E)<br />
= ! 2 ( Pa ) + ! 2 ( Pb ) + 2 " ! 2 ( F1 )<br />
! 2 ( G)<br />
= ! 2 ( PH ) " ! 2 ( E)<br />
! 2 A<br />
( ) = 2 " ! 2 ( F2 )<br />
4<br />
[ ] # ! 2 ( BC P 1 a ) + ! 2 [ ( BC P 1 a ) ]<br />
Negative estimates for genetic variances are possible with the experimental design adopted. Negative<br />
estimates should be considered equal to zero (Robinson et al., 1955), but should be reported "in order to<br />
contribute to the accumulation of knowledge, which may, in the future, be properly interpreted" (Dudley and<br />
Moll, 1969). We considered negative estimates equal to zero for the calculation of the mean estimates over<br />
families or locations. When a negative estimate was derived from another negative value (narrow-sense<br />
heritability and gain from selection, calculated from additive variance), it was considered close to zero and<br />
omitted.<br />
The number of effective factors was estimated using the following five methods (Lande, 1981; Mather<br />
and Jinks, 1982; Wright, 1968):<br />
Lande's method I:<br />
Lande's method II:<br />
8 " # 2 $<br />
%<br />
&<br />
( ) !<br />
F 2<br />
[ ] 2<br />
µ ( P ) ! µ ( P )<br />
b<br />
a<br />
2<br />
# ( P ) + # a<br />
2 ( P ) + 2 " # b<br />
2 [ ( F ) 1 ] '<br />
(<br />
4<br />
)<br />
[ µ ( P ) ! µ ( P )<br />
b<br />
a ] 2<br />
( F ) ( BC P ) + # 2<br />
1 a<br />
2<br />
{ ( BC P ) 1 a }<br />
[ ] ! # 2 [ ]<br />
8 " 2 " # 2<br />
84