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Two main aims of this investigation were to predict kernel ratio (KR) and   kernel weight (KW) from some walnut characteristics, respectively. For these   aims, a total of 112 Walnut genotypes growing in nature were collected at   Darende District of Malatya province in the Eastern Anatolia region of   Turkiye. The walnut characteristics evaluated were nut length (NL), nut width   (NW), nut height (NH), nut weight (NWe), shell thickness (ST), kernel ratio   (KR) and kernel weight (KW), respectively. Independent variables were   subjected to factor analysis based on principal component extraction method   and VARIMAX rotation. On the basis of jointly using factor scores in multiple   regression, KR (81.3 % R2 and 80.6 % adjusted R2) and KW (94.7% R2 and 94.5%   adjusted R2) characteristics were predicted by using four factor scores with   a big accuracy without multicollinearity problem. Consequently, the present   results revealed that, walnuts of heavier KW and NWe in the prediction of KR   would be expected to produce those of higher KR, and walnuts of higher values   in NH, NW, NWe, ST, NL, and KR in the prediction of KW would be expected to   produce those of heavier KW. The knowledge may help walnut breeders to   improve new selection strategies

genetika

Identification of the relationship between some characteristics of native walnut genotypes peculiar to Darende district of Malatya province: Use of factor analysis scores in multiple linear regression