Relationship between yield and main components of Japonica rice in cold region
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DOI:10.7606/j.issn.1000-7601.2021.03.13
Key Words: Japonica rice in old region  ear number × grains per spike ×1000-grain weight  interaction  yield  path analysis
Author NameAffiliation
LI Hongliang Mudanjiang Branch of Heilongjiang Academy of Agricultural Sciences, Mudanjiang, Heilongjiang 157041, China 
SUN Yuyou Mudanjiang Branch of Heilongjiang Academy of Agricultural Sciences, Mudanjiang, Heilongjiang 157041, China 
HOU Guoqiang Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang 150086, China 
CHENG Dujuan Mudanjiang Branch of Heilongjiang Academy of Agricultural Sciences, Mudanjiang, Heilongjiang 157041, China 
LIU Chunguang Mudanjiang Branch of Heilongjiang Academy of Agricultural Sciences, Mudanjiang, Heilongjiang 157041, China 
XU Dehai Mudanjiang Branch of Heilongjiang Academy of Agricultural Sciences, Mudanjiang, Heilongjiang 157041, China 
WANG Li Mudanjiang Branch of Heilongjiang Academy of Agricultural Sciences, Mudanjiang, Heilongjiang 157041, China 
SHI Xinrui Mudanjiang Branch of Heilongjiang Academy of Agricultural Sciences, Mudanjiang, Heilongjiang 157041, China 
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Abstract:
      In this study, 138 Japonica rice materials in cold region were tested to analyze the correlation between yield and its main components. The results showed that the plant height and panicle length were significantly positively correlated with yield (0.32** and 0.25**), and the plant height and panicle length were significantly positively correlated with spike number (0.49** and 0.45**). The panicle length was significantly negatively correlated with seed setting rate (-0.20*). In the interaction analysis of the direct components of yield, except for the number of panicles × the number of grains per spike × 1000-grain weight was significantly negatively correlated with yield (-0.71**). The other two or three interactions had significantly positively correlation with yield. The interaction of ear number × grains per spike × seed setting rate had the greatest effect on yield (0.87**). The number of panicles × grains per spike × 1000-grain weight had the second effect on yield (-0.71**). Among the interaction effects of various factors on yield traits, the number of panicles and grains per spike played the most important role, followed by seed setting rate, and the effect of 1000-grain weight on yield was the least. Path analysis also showed that the path coefficient values of the number of panicles and grains per spike to yield were significantly higher than those of seed setting rate and 1000-grain weight to yield (3.3929 and 3.5379 > 1.8900 and 2.5511, taking high\|yielding varieties for example). It indicated that the number of panicles and grains per spike were the decisive factors for the yield of Japonica rice in the cold region. In conclusion, fully coordinating the relationship between the number of panicles and grains per spike was the basis for high yield of Japonica rice in cold region. At the same time, the effect of seed setting rate and 1000-grain weight on yield should be taken into account. Especially in high\|yield varieties, the effect of 1000-grain weight on yield had a significantly increasing trend.