Abstract
Association of protein content in peas with climatic factors was studied on data based on official cultivar trials at six locations in southern Finland in 1978—1985. Correlation and step-wise multiple linear regression methods were used to define the main climatic variables affecting protein content. Correlation studies showed that protein content was significantly and positively associated with temperature sum and mean June temperature and significantly negatively correlated with July precipitation. Regression analysis indicated that climatic factors accounted for 25 %—70 % of the total variation in protein content. Temperature sum and precipitation in July were the most important independent variables explaining protein variation. The role of environmental factors for protein variation and its implications for the improvement of protein content by plant breeding is discussed.
Highlights
Legumes provide about 10 % of the world’s supply of protein (Gridley and Evans 1979, Matthews and Arthur 1985)
In the past ten years particular attention has been given on peas as an important future protein crop in Europe because remarkable advances in improving yield stability have been achieved
Dicate that protein content is clearly positively associated with plant height, growing time, flowering duration, lodging, seed yield, and protein yield (Table 2)
Summary
Legumes provide about 10 % of the world’s supply of protein (Gridley and Evans 1979, Matthews and Arthur 1985). Failures in breeding cereals for better protein crops have focused more attention on grain legumes, which naturally contain high amounts of protein with high biological value in terms of amino acid composition. Breeding success has been based on utilizing mutant genes which affect the development of tendrils, leaflets and stipules (Kujala 1953, Davies 1977) so that breeders have been able to produce leafless and semileafless peas. These types of peas have better lodging resistance than conventional peas, which means considerable savings in harvesting costs
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