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Effects of increased seeding density on seedling characteristics, mechanical transplantation quality, and yields of rice with crop straw boards for seedling cultivation
Yufei Ling, Mengzhu Liu, Yuan Feng, Zhipeng Xing, Hui Gao, Haiyan Wei, Qun Hu, Hongcheng Zhang
2025, 24 (1): 101-113.   DOI: 10.1016/j.jia.2023.12.018
Abstract110)      PDF in ScienceDirect      

The high labor demand during rice seedling cultivation and transplantation poses a significant challenge in advancing machine-transplanted rice cultivation.  This problem may be solved by increasing the seeding rate during seedling production while reducing the number of seedling trays.  This study conducted field experiments from 2021 to 2022, using transplanting seedling ages of 10 and 15 days to explore the effects of 250, 300, and 350 g/tray on the seedling quality, mechanical transplantation quality, yields, and economic benefits of rice.  The commonly used combination of 150 g/tray with a 20-day seedling age in rice production was used as CK.  The cultivation of seedlings under a high seeding rate and short seedling age significantly affected seedling characteristics, but there was no significant difference in seedling vitality compared to CK.  The minimum number of rice trays used in the experiment was observed in the treatment of 350–10 (300 g/tray and 10-day seedling age), only 152–155 trays ha–1, resulting in a 62% reduction in the number of trays needed.  By increasing the seeding rate of rice, missed holes during mechanical transplantation decreased by 2.8 to 4%.  The treatment of 300–15 (300 g/tray and 15-day seedling age) achieved the highest yields and economic gains.  These results indicated that using crop straw boards can reduce the application of seedling trays.  On that basis, rice yields can be increased by raising the seeding rate and shortening the seedling age of rice without compromising seedling quality.

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Optimizing nitrogen management can improve stem lodging resistance and stabilize the grain yield of japonica rice in rice–crayfish coculture systems
Qiang Xu, Jingyong Li, Hui Gao, Xinyi Yang, Zhi Dou, Xiaochun Yuan, Weiyan Gao, Hongcheng Zhang
2024, 23 (12): 3983-3997.   DOI: 10.1016/j.jia.2024.02.002
Abstract242)      PDF in ScienceDirect      
Nitrogen (N) significantly affects rice yield and lodging resistance.  Previous studies have primarily investigated the impact of N management on rice lodging in conventional rice monoculture (RM); however, few studies have performed such investigations in rice–crayfish coculture (RC).  We hypothesized that RC would increase rice lodging risk and that optimizing N application practices would improve rice lodging resistance without affecting food security.  We conducted a two-factor (rice farming mode and N management practice) field experiment from 2021 to 2022 to test our hypothesis.  The rice farming modes included RM and RC, and the N management practices included no nitrogen fertilizer, conventional N application, and optimized N treatment.  The rice yield and lodging resistance characteristics, such as morphology, mechanical and chemical characteristics, anatomic structure, and gene expression levels, were analyzed and compared among the treatments.  Under the same N application practice, RC decreased the rice yield by 11.1–24.4% and increased the lodging index by 19.6–45.6% compared with the values yielded in RM.  In RC, optimized N application decreased the plant height, panicle neck node height, center of gravity height, bending stress, and lodging index by 4.0–4.8%, 5.2–7.8%, 0.5–4.5%, 5.5–10.5%, and 1.8–19.5%, respectively, compared with those in the conventional N application practice.  Furthermore, it increased the culm diameter, culm wall thickness, breaking strength, and non-structural and structural carbohydrate content by 0.8–4.9%, 2.2–53.1%, 13.5–19.2%, 2.2–24.7%, and 31.3–87.2%, respectively.  Optimized N application increased sclerenchymal and parenchymal tissue areas of the vascular bundle at the culm wall of the base second internode.  Furthermore, optimized N application upregulated genes involved in lignin and cellulose synthesis, thereby promoting lower internodes on the rice stem and enhancing lodging resistance.  Optimized N application in RC significantly reduced the lodging index by 1.8–19.5% and stabilized the rice yield (>8,570 kg ha–1 on average).  This study systematically analyzed and compared the differences in lodging characteristics between RM and RC.  The findings will aid in the development of more efficient practices for RC that will reduce N fertilizer application.

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Benchmarking 24 combinations of genotype pre-phasing and imputation software for SNP arrays in pigs
Haonan Zeng, Kaixuan Guo, Zhanming Zhong, Jinyan Teng, Zhiting Xu, Chen Wei, Shaolei Shi, Zhe Zhang, Yahui Gao
DOI: 10.1016/j.jia.2024.12.009 Online: 10 December 2024
Abstract8)      PDF in ScienceDirect      

Genotype imputation is essential for increasing marker density and maximizing the utility of existing SNP array data in animal breeding. Although a wide range of software is available for genotype imputation, a comprehensive benchmark in pigs is still lacking. In this study, we benchmarked 24 combinations of genotype imputation software for SNP arrays in pigs, comprising six independent pre-phasing software (fastPHASE, MaCH, BIMBAM, Eagle, SHAPEIT, Beagle) and four distinct imputation software (pbwt, Minimac, IMPUTE, Beagle), using 1,602 whole-genome sequencing (WGS) pigs from a multibreed pig genomics reference panel (PGRP) in PigGTEx. Our results indicated that the combination of Beagle for pre-phasing and Minimac for imputation achieves the highest imputation accuracy with a concordance of 0.983, especially for low-frequency SNPs (MAF<0.05). Finally, we proposed three recommended strategies: i) the combination of Beagle and Minimac is optimal for achieving the highest accuracy; ii) the combination of Beagle and Beagle is recognized for its convenience and relatively high accuracy despite it being memory-intensive; iii) the combination of Eagle and pbwt is feasible for its minimal computational cost with relatively high accuracy. This study provides valuable insights for implementing genotype imputation for pig SNP arrays toward sequence data and offers a basis for applications in livestock and poultry breeding.

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Integrated transcriptomic and metabolomic analyses reveal a novel mechanism of resistance to Colletotrichum fructicola in pear
Xiaomei Tang, Yue Wang, Yuqing Guo, Luoluo Xie, Wei Song, Ziwen Xiao, Ruichang Yin, Zhe Ye, Xueqiu Sun, Wenming Wang, Lun Liu, Zhenfeng Ye, Zhenghui Gao, Bing Jia
DOI: 10.1016/j.jia.2024.12.041 Online: 02 January 2025
Abstract11)      PDF in ScienceDirect      

Pear anthracnose, caused by Colletotrichum fructicola, is a devastating disease that seriously affects most pear varieties, thereby compromising their yield and quality. However, effective control of this pathogen is lacking. Moreover, the critical resistance responses to C. fructicola in pear are unknown. To investigate these resistance mechanisms of pear against Colletotrichum fructicola, transcriptomic and metabolomic were performed and analyzed in pear anthracnose-resistant pear variety ‘Seli’ and the susceptible variety ‘Cuiguan’ after infection with C. fructicola, respectively. The differentially expressed genes and differentially accumulated metabolites (DAMs) were mainly related to metabolism and secondary metabolite synthetic pathways, including alpha-linoleic acid metabolism, phenylalanine biosynthesis metabolism, unsaturated fatty acids biosynthesis, and amino acids and derivatives biosynthesis etc. In particular, the accumulation of unsaturated fatty acids, amino acids and derivatives, such as linoleic acid and derivatives, lauric acid, N-acetyl-L-glutamic acid and L-proline was significantly increased in the resistant pear variety ‘Seli’ upon C. fructicola infection, while the amino acids of oxiglutatione and N-acetyl-L-glutamic acid, as well as the proanthocyanidins were significantly decreased in susceptible pear variety ‘Cuiguan’ upon C. fructicola infection, indicating that these metabolites were responsible for the different levels of resistance to anthracnose in ‘Seli’ and ‘Cuiguan’. Overall, our results provided new insights into pear anthracnose resistance regulation, and this may assist in developing new strategies to control pear anthracnose, as well as in breeding anthracnose-resistant varieties.

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Enhancing rice yield by optimizing tillering through transplantation of high-density seedlings cultivated on crop straw boards
Yufei Ling, Qun Hu, Yuxin Xia, Kaiwei Zhang, Dihui Fu, Yuan Feng, Fangfu Xu, Guangyan Li, Zhipeng Xing, Hui Gao, Haiyan Wei, Hongcheng Zhang
DOI: 10.1016/j.jia.2025.02.048 Online: 25 February 2025
Abstract15)      PDF in ScienceDirect      

In the face of agricultural labor shortages, reducing labor and costs in rice production while meeting demand or increasing yield is crucial for sustainable agricultural development.  Utilizing crop straw boards and high-density seedling raising can reduce labor demand and enhance rice yield.  This study aimed to investigate the effects of seeding density and transplanting age on tillering patterns, panicle formation rates, and yield to determine optimal cultivation practices for maximizing rice yield.  Two-year field experiments were conducted in Sihong County, China, using the japonica rice variety Nanjing 5718.  Five seeding densities (150–350 g/tray) and four transplanting ages (10–25 days) were evaluated to assess their impact on tillering patterns, panicle formation rates, and yield.  Innovative crop straw boards were employed to enhance planting efficiency and reduce dependence on seedling-raising soil.  This approach also lessened tillage layer destruction, promoting sustainable practices.  The results indicated that increasing seeding density significantly altered tillering and panicle formation patterns, reducing the occurrence and panicle formation rates of lower-position tillers.  Although the occurrence of middle and high-position tillers increased, the overall number of panicles per hill decreased, especially at higher densities, negatively affecting yield.  Reducing transplanting age promoted the emergence and panicle formation of lower-position tillers, mitigating these negative effects.  Specifically, compared to traditional methods (150 g/tray, 20-day seedlings), the higher seeding density (300 g/tray) and shorter transplanting age (15-day seedlings) increased total panicle number by 3.79–4.73% and yield by 3.38–5.05%.  Combining higher seeding densities with reduced transplanting ages offers significant advantages over conventional practices by enhancing resource utilization, improving tillering efficiency.  These findings provide actionable recommendations for optimizing rice cultivation practices and contribute to sustainable agricultural development.

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