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[学术文献 ] Resource-Efficient Cotton Network: A Lightweight Deep Learning Framework for Cotton Disease and Pest Classification 进入全文
PLANTS-BASEL
Cotton is the most widely cultivated natural fiber crop worldwide, yet it is highly susceptible to various diseases and pests that significantly compromise both yield and quality. To enable rapid and accurate diagnosis of cotton diseases and pests-thus supporting the development of effective control strategies and facilitating genetic breeding research-we propose a lightweight model, the Resource-efficient Cotton Network (RF-Cott-Net), alongside an open-source image dataset, CCDPHD-11, encompassing 11 disease categories. Built upon the MobileViTv2 backbone, RF-Cott-Net integrates an early exit mechanism and quantization-aware training (QAT) to enhance deployment efficiency without sacrificing accuracy. Experimental results on CCDPHD-11 demonstrate that RF-Cott-Net achieves an accuracy of 98.4%, an F1-score of 98.4%, a precision of 98.5%, and a recall of 98.3%. With only 4.9 M parameters, 310 M FLOPs, an inference time of 3.8 ms, and a storage footprint of just 4.8 MB, RF-Cott-Net delivers outstanding accuracy and real-time performance, making it highly suitable for deployment on agricultural edge devices and providing robust support for in-field automated detection of cotton diseases and pests.
[学术文献 ] Exploring the Dual Effects of Jasmonic Acid on Cotton Plants and Management of Aphis gossypii Infestations 进入全文
RUSSIAN JOURNAL OF PLANT PHYSIOLOGY
Cotton serves as the primary source of renewable fiber worldwide, primarily utilized in textile manufacturing. However, the cotton aphid, Aphis gossypii Glover, represents a significant risk to cotton cultivation. This study investigated the jasmonic acid (JA) effects at 0.25 mg/L on promoting cotton plant growth, enhancing productivity, and mitigating aphid populations. The findings indicated that JA treatment positively impacted important growth parameters i.e. plant height, leaf area, fruiting branches number/plant, plant dry weight and chlorophyll pigments (Chl a, b, total) content, antioxidant enzymes activity (CAT and POD) and polyphenoloxidase (PPO) as well as leaf total phenols content. Moreover, JA led to increased seed cotton yield, average boll weight, lint%, and improved fiber quality i.e. fiber length, strength, micronaire value. Both JA (0.25 mg/L) and acetamiprid (at 0.25 g/L) significantly lowered aphid populations. Ten days after application, acetamiprid resulted in the most significant reductions in aphid populations, with a 99.73% decrease in 2021 and a 99.34% decrease in 2022. Jasmonic acid also contributed to reductions of 81.28 and 76.56% in aphid populations ten days after treatment in the 2021 and 2022 seasons. Therefore, JA can be effectively used at a concentration of 0.25 mg to promote cotton growth and yield while reducing aphid population density in an eco-friendly manner.
[学术文献 ] Effect of cumin intercropping density on cotton growth and system economic benefits under subsurface drip irrigation 进入全文
JOURNAL OF COTTON RESEARCH
BackgroundThe mulch-free subsurface drip irrigation system demonstrated water-saving potential as an alternative to traditional mulch-based drip irrigation while also eliminating residual film pollution at source. However, delayed sowing is unavoidable in mulch-free cultivation in ecological regions with a short frost-free period. Intercropping with cumin, which has a shorter growth period, served as an effective strategy to improve land use efficiency during the early growth stages of cotton. Therefore, a two-year field experiment was conducted to study the effects of intercropping cumin at the seeding rate of 2.5 (ID1), 3.85 (ID2), and 5.2 (ID3) kg<middle dot>hm-2 on cotton growth, interspecies competition, fiber quality, and water use efficiency (WUE), as well as system economic benefits under subsurface drip irrigation. Monocropping cotton was used as the control (CK) treatment.ResultsAt the initial flowering (IF) stage (the end of the co-growth period of cotton and cumin), cotton plant height in ID2 and ID3 treatments decreased by 5.93%-16.53% and 10.87%-31.11%, respectively, cotton stem diameter by 11.41%-14.25% and 3.37%-26.49%, respectively, and vegetative biomass by 14.46%-30.65% and 22.59%-49.91%, respectively, compared with CK treatment. With the increase in cumin density, the crop growth rate (CGR) and compensation effect in cotton tended to significantly decrease at the IF stage regardless of organs considered. For the non-co-growth period (after harvesting cumin), cotton reproductive organ biomass in ID2 and ID3 treatments increased by 4.09%-14.61% at the boll opening stage, crop growth rate in reproductive organs by 20.74% and 74.26% from peak boll to boll opening stages compared with CK treatment, due to an enhancement of 19.09% and 49.30% in the compensation effect. Compared with ID1, the aggressivity treated by ID2 and ID3 decreased by 12.82%-46.34% and 17.95%-31.71%, respectively. However, owing to a greater number of green bolls in the upper canopy at the harvest stages in the ID3 treatment, the system production value (closely related to yield) treated by ID2 was 11.69%-16.89%, 6.56%-20.02%, and 16.48%-59.83% greater than that of the ID1, ID3, and CK treatments, respectively. This also led to the highest WUE and net profit under the ID2 treatment.ConclusionIntercropping cumin with medium density improved the cotton biomass accumulation characteristics and increased resources such as land and water utilization efficiency and economic benefits through a stronger compensation effect after harvesting cumin under subsurface drip irrigation without mulch. This study not only provides alternatives to residual film pollution in arid cotton fields but also establishes a sustainable agro-ecological-economic planting paradigm by reducing plastic use and enhancing water and fertilizer use efficiency, holding significant implications for advancing resource-efficient agricultural systems.
[学术文献 ] Heatmap clustering and performance analysis of cotton genotypes in response to environmental conditions 进入全文
SCIENTIFIC REPORTS
Cotton (Gossypium hirsutum) is a crucial cash crop in China, with yield performance influenced by genotype, environmental conditions, and management practices. The aim of this study was to assess the yield performance, biomass accumulation, and growth of nine cotton genotypes in Henan Province during three growing seasons (2017-2019) with different climates. Field experiments were conducted using a randomized complete block design (RCBD) at the Institute of Cotton Research, Chinese Academy of Agricultural Sciences (CAAS), Anyang, China. Plant height, true leaf number, and boll number per plant were among the morphological characteristics that showed the most variance across years and genotypes. Reproductive biomass, leaf area index (LAI), and biomass accumulation followed distinct seasonal trends, with LAI rising during boll formation and flowering. Yield parameters such as seed cotton yield, lint percentage, and boll weight vary by genotype and year, with the highest yields recorded in 2019. According to correlation study, temperature and precipitation had a negative impact on seed cotton production and final biomass, whereas climatic parameters had a favorable correlation with the harvest index. The genotypes were divided into distinct categories according to growth and yield characteristics using heatmap clustering. These findings provide insight into the best cotton genotypes for increased productivity and resilience in a variety of climates, allowing breeders and farmers to make more informed cultivar selections.
[学术文献 ] Multifactorial ANOVA analysis of genotype and environment effects on morphological and agronomic traits in G. barbadense L. cotton 进入全文
JOURNAL OF WILDLIFE AND BIODIVERSITY
This study investigates the influence of genotype and environmental stress (optimal, drought, and salinity conditions) on morphological and agronomic traits in ten fine-fiber cotton genotypes using multifactorial ANOVA. Traits such as plant height, number of fruiting branches, number of opened bolls, total boll number, boll weight, vegetative period, and overall yield were analyzed. Results showed that genotype had no statistically significant effect on most traits (P > 0.05), whereas environmental factors significantly impacted all studied parameters (P < 0.0001 in most cases). Genotypes such as T-2024, Duru-gavhar-4 (T-5560), Angor (T-1981), and T-2090 demonstrated relative stability and adaptability to stress conditions and may be considered valuable in breeding programs for stress-tolerant cotton cultivars.
[前沿资讯 ] 研究发现抗坏血酸合成基因能提高棉花耐碱性 进入全文
中工网
近日，中国农科院棉花研究所棉花功能基因组创新团队开展碱胁迫下棉花的应激响应机制研究，发现GhGLDH35A基因通过调控抗坏血酸的合成和维持细胞内的活性氧稳态来调控棉花对碱的抗性，为棉花耐碱胁迫分子机理研究提供了新依据。 相关研究结果日前在线发表在《高级研究期刊（JournalofAdvancedResearch）》上。 据介绍，抗坏血酸是植物体内重要的水溶性抗氧化剂，能清除活性氧并作为酶辅因子，通过维持氧化还原平衡、保护细胞膜完整性及激活抗氧化系统等，增强植物对干旱、盐碱等胁迫的耐受能力。 该研究挖掘到抗坏血酸合成的关键基因GhGLDH35A，发现该基因在碱胁迫下表达量显著增加，并通过调控抗坏血酸的合成，维持细胞内的活性氧稳态，从而减轻碱胁迫对棉花的损害。此外，该基因还能够调控气孔运动，减少水分散失，提高棉花的光合作用效率。 该研究结果为解析棉花耐碱机制提供了新视角，并为耐碱棉花的育种提供了重要的理论基础和基因资源。研究得到国家生物育种重大项目、中国农科院科技创新工程、国家现代农业产业技术体系和国家盐碱地综合利用技术创新中心核心攻关团队等项目资助。
