首页|Effects of Sowing Periods on Growth and Development, Yield and Quality of Maize in Cold Area

Effects of Sowing Periods on Growth and Development, Yield and Quality of Maize in Cold Area

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In order to determine the most suitable sowing periods for maize in the cold area of Harbin City, the field test method was adopted. From 2018 to 2019, the main maize variety Xianyu 696 which was planted in Harbin City, Heilongjiang Province, was used as the test material for the six-sowing-period treatment experiments. The sowing period settings were as the followings: April 20 (T1), April 24 (T2), April 27 (T3), May 4 (T4), May 11 (T5) and May 18 (T6). In the experiment, the effects of different sowing periods on the growth and development, yields and quality of maize were studied. The results showed that the maize through T1 treatment had the longest growth period, the lowest height and the highest ear height, and the highest grain protein content. The maize through T6 treatment had the highest height and ear height, as well as the highest starch and oil content. And the grain crude fat, soluble protein, soluble sugar and the moisture content increased and then decreased with the delay of the sowing period. The maize through T4 treatment had the highest content of soluble protein. However, other quality indicators and the number of rows, the length of the bald tip, the number of grains per spike and the weight of 100 grains first increased and then decreased with the delay of the sowing period. The dry matter accumulation through T4 treatment was significantly higher than the ones through five treatments, and the 100-kernel weight and other ear-grain traits were the highest, the maizes through T4 treatment increased the yield by 21.54% compared with that through T1 treatment. Thus, the most suitable sowing period for the maize in the cold area of Harbin City was from May 4 to May 11. It provided technical supports for guiding maize planting in the cold area of Harbin City.

cold regionmaize sowing datemaize yieldsgrain quality

Liu Bo-wen、Yan Ping、Zhou Yong-ji、Xu Jia-qi、Wang Yu-fan、Xue Hong-wei、Sun Yan-kun

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College of Resources and Environment,Northeast Agricultural University,Harbin 150030,China

Heilongjiang Province Institute of Meteorological Science,Harbin 150030,China

Heilongjiang Meteorological Data Center,Harbin 150030,China

"Thirteenth Five-Year"Key Research and Development Project Sub-project

2018YFD0300103-1

2022

东北农业大学学报(英文版)
东北农业大学

东北农业大学学报(英文版)

影响因子:0.075
ISSN:1006-8104
年,卷(期):2022.29(1)
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