作者: I. Mackay , A. Horwell , J. Garner , J. White , J. McKee
DOI: 10.1007/S00122-010-1438-Y
关键词: Agronomy 、 Plant disease resistance 、 Agriculture 、 Plant genetics 、 Plant breeding 、 Sugar beet 、 Seasonality 、 Biology 、 Forage 、 Germplasm
摘要: Historical datasets have much to offer. We analyse data from winter wheat, spring and barley, oil seed rape, sugar beet forage maize the UK National List Recommended trials over period 1948–2007. find that since 1982, for cereal crops at least 88% of improvement in yield is attributable genetic improvement, with little evidence changes agronomy improved yields. In contrast, same time period, plant breeding contributed almost equally increased yields beet. For cereals prior contributions were 42, 60 86% wheat respectively. These results demonstrate overwhelming importance increasing crop productivity UK. Winter are analysed more detail exemplify use historical series study detect disease resistance breakdown, sensitivity varieties climatic factors, also test methods genomic selection. show breakdown can cause biased estimates variety year effects, but comparison between fungicide treated untreated years may be a means screen durable resistance. greatest sensitivities germplasm seasonal differences rainfall temperature summer temperature. Finally, selection, correlations observed predicted ranged 0.17 0.83. The high correlation resulted markers predicting kinship amongst lines rather than tagging multiple QTL. believe full value these will come exploiting links other experiments experimental populations. However, not exploit such valuable wasteful.