Principal component analysis was carried out on 20 agronomic traits of 68 inbred indica rice cultivars, which were widely planted in South China in recent 50 years. The results indicated 85.1% of the total variations were contributed by the top six factors among which the factor of grain number per panicle made the greatest contribution. The regression analysis result showed that the standardized regression coefficient of biomass factor to yield was the greatest. It indicated that the biomass was the most important factor to high yield. Based on the scores of the top six factors, 68 cultivars could be classified into five groups. A comparison of the mean factor scores and the agronomic traits among the five groups indicated that biomass was a key factor which determined yield level. Spikelet number and grain weight followed an opposite trend among the cultivar groups, and if the score of one factor is too low, the yield level will be reduced significantly. Only when the two factors maintained balance at a high biomass yield, the sink size and yield could be increased to a high level. It should be an important approach to increase the grain yield potential in South China to maintain the balance between the grain number and grain weight at a higher level through increasing 1000grain weight based on large panicle and high biomass.
LIU Chuanguang1, ZHOU Hanqin1, FENG Daoji1, ZHOU Xinqiao1, CHEN Dagang1, LI Lijun1, LI Juchang1, ZHANG Guiquan2,*, CHEN Youding1,*
. Analysis of Main Agronomic Traits Affecting Yield Level in Inbred indica Rice Cultivars in South China[J]. Chinese Journal OF Rice Science, 2012
, 26(2)
: 182
-188
.
DOI: 10.3969/j.issn.10017216.2012.02.007
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