Zhiwei Ye¹, Ziqian Fang¹, Zhina Song^1,*, Haigang Sui², Chunyan Yan¹, Wen Zhou¹, Mingwei Wang¹

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2019-2035, 2023, DOI:10.32604/iasc.2023.039949

Abstract Hyperparameters play a vital impact in the performance of most machine learning algorithms. It is a challenge for traditional methods to configure hyperparameters of the capsule network to obtain high-performance manually. Some swarm intelligence or evolutionary computation algorithms have been effectively employed to seek optimal hyperparameters as a combinatorial optimization problem. However, these algorithms are prone to get trapped in the local optimal solution as random search strategies are adopted. The inspiration for the hybrid rice optimization (HRO) algorithm is from the breeding technology of three-line hybrid rice in China, which has the advantages of easy implementation, less parameters and… More >

Jiana Chen¹, Ruichun Zhang², Fangbo Cao¹, Xiaohong Yin^1,3, Tianfeng Liang³, Min Huang^1,*, Yingbin Zou¹

Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 1043-1057, 2020, DOI:10.32604/phyton.2020.011361

Abstract Double-season rice cropping systems occupy a large portion of the rice production area in southern China. Because the problem of insufficient labor, mechanical transplanting (in contrast to the manual transplanting) was become more attractive in double-season rice system. However, the decisive yield factors which resulting in high grain yield of early-season rice are unclear under mechanical-transplanted conditions. In present study, the field experiments were conducted in the early season in 2017 and repeated in 2018 in Santang Town, Hunan Province, China. Ten early season rice cultivars (Zhuliangyou 819, Lingliangyou 268, Lingliangyou 104, Luliangyou 996, Xiangzaoxian 24, Xiangzaoxian 32, Xiangzaoxian 45,… More >

LU GAN, XIAOSHU DENG, YAN LIU, ANCAI LUO, JIAO CHEN, JING XIANG, ZHENGWU ZHAO^*

BIOCELL, Vol.44, No.3, pp. 451-459, 2020, DOI:10.32604/biocell.2020.08007

Abstract The present study focused on the segregation of the percentage of grains with chalkiness (PGWC), using Huanghuazhan as the female parent and CS197 as the male parent to construct the hybrid rice F₂ population. Molecular markers were used for genotype analysis among the extremely low and extremely high PGWC individuals from the F₂ population. The results revealed that the genotypes of 10 extremely low PGWC individuals were 80.00% and 3.33%, which is identical to Huanghuazhan and CS197, respectively. The heterozygotes accounted for 16.67%. On the contrary, the genotypes of 10 extremely high PGWC individuals were 37.78% and 32.22%, which is… More >

Jie Li^1,2, Yuehua Feng^1,3,*, Jinfeng Peng¹, Xiaoke Wang¹, Dinghua Yang², Guiling Xu¹

Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 657-666, 2020, DOI:10.32604/phyton.2020.010969

Abstract Rice leaves show lateral asymmetry. Differences in width, thickness, chlorophyll meter readings, nitrogen content, density, and yield on each asymmetrical have been reported. However, limited information is available on the distribution characteristics of the smooth side (SS) and rough side (RS) of rice leaves. The SS of rice leaves can be divided into two types according to its location in leaf: one is the smooth side appearing on the left (SSAL) of the leaf, while the smooth side of the other type appears on the right (SSAR). Through the investigation of four rice varieties, we identified that the proportion of… More >

Min Huang*, Hengdong Zhang, Chunrong Zhao, Guanghui Chen and Yingbin Zou

Phyton-International Journal of Experimental Botany, Vol.88, No.2, pp. 101-107, 2019, DOI:10.32604/phyton.2019.06694

Abstract Improving grain amino acid content of rice (Oryza sativa L.) is essential for the health of consumers. This study was conducted to identify the physiological processes that contribute to the higher grain amino acid content in hybrid rice cultivar Lingliangyou 268 compared to Luliangyou 996. The results showed that total amino acid content in grains was 9% higher in Lingliangyou 268 than in Luliangyou 996. There was no significant difference in grain nitrogen (N) content between Lingliangyou 268 and Luliangyou 996, while ratio of amino acid to N was 6% higher in Lingliangyou 268 compared to Luliangyou 996. A total… More >