Moisture legacy effects shape vegetation productivity across East Asia ecosystems, 2001-2020 [0.03%]
2001年至2020年期间的东亚生态系统中土壤湿度遗产效应影响植被生产力
Pingping Zheng,Mark Henderson,Binhui Liu et al.
Pingping Zheng et al.
This study investigated spatiotemporal patterns of growing season gross primary productivity (GPPGS) across three vegetation types in mid-to-high latitude East Asia from 2001-2020.Growing season parameters and GPP were extracted from MODIS ...
Genome-wide identification and functional characterization of oleosin genes in peanut (Arachis hypogaea L.) [0.03%]
基于全基因组鉴定及功能分析的花生油体蛋白基因家族研究
Meiling Hu,Jie Wu,Xiaomeng Xue et al.
Meiling Hu et al.
Peanut is a worldwide important oil crop and serves as a major source of vegetable oil. Seed oil is stored as oil bodies (OB), which are subcellular structures in the cytoplasm. Oil bodies accumulate triacylglycerols (TAGs) inside and surro...
Predicting the potential geographical distribution of mango, an important tropical economic tree species, under current and climate change based on Maxent model [0.03%]
基于最大熵模型预测气候变化下的重要热带经济树种杧果的潜在分布区
Sangui Yi,Yuanhe Huang,Zongling Liu et al.
Sangui Yi et al.
Introduction: Mango is a major tropical economic tree species in China, along with being a vital source of livelihood for farmers and an important maintainer of ecosystem services in southern China. Identifying the potent...
A study on the non-contact measurement of sunflower disk inclination and its application to accurate phenotypic analysis [0.03%]
一种非接触式测量向日葵盘倾斜度及其在精确表型分析中的应用研究方法
Qiang Wang,Kaixuan Li,Zihao Gao et al.
Qiang Wang et al.
The tilt angle of sunflower flower heads is an important phenotypic characteristic that influences their growth and development, as well as the efficiency of mechanised harvesting in precision agriculture. Addressing the issues of low accur...
Few-shot crop disease recognition using sequence- weighted ensemble model-agnostic meta-learning [0.03%]
基于序列加权集合的模型不可知元学习的少样本农作物病害识别方法
Junlong Li,Quan Feng,Junqi Yang et al.
Junlong Li et al.
Diseases pose significant threats to crop production, leading to substantial yield reductions and jeopardizing global food security. Timely and accurate detection of crop diseases is essential for ensuring sustainable agricultural developme...
Influences of environmental and leaf functional traits variations on photosynthetic characteristics of Cotoneaster multiflorus in Xinglong Mountain [0.03%]
兴隆山栒子光合特性对环境及叶功能性状变化的响应
Xiaodong Ma,Ling Han,Chengzhang Zhao et al.
Xiaodong Ma et al.
Background and aims: Slope aspect affects the redistribution of solar radiation and precipitation, altering habitat conditions such as temperature, water availability, and soil nutrient composition. However, the impact of...
Alfreds Lapkovskis,Natalia Nefedova,Ali Beikmohammadi
Alfreds Lapkovskis
Introduction: Plant classification is vital for ecological conservation and agricultural productivity, enhancing our understanding of plant growth dynamics and aiding species preservation. The advent of deep learning (DL)...
DNA methylation valley as a distinguishing feature occurs in root-specific expressed nicotine-related genes in Nicotiana attenuata [0.03%]
烟草尼古丁生物合成相关根特异性表达基因启动子区存在DNA低甲基化谷地现象
Ahui Tong,Bingwu Wang,Jinsong Wu
Ahui Tong
Introduction: Nicotine, the main defense alkaloid of Nicotiana species, is synthesized exclusively in the roots. Several studies have shown that changes in DNA methylation patterns are associated with altered expression o...
BiSeNeXt: a yam leaf and disease segmentation method based on an improved BiSeNetV2 in complex scenes [0.03%]
基于改进的BiSeNetV2的复杂场景下 Dioscorea alata叶和病害分割方法
Bibo Lu,Yanjun Lu,Di Liang et al.
Bibo Lu et al.
Introduction: Yam is an important medicinal and edible crop, but its quality and yield are greatly affected by leaf diseases. Currently, research on yam leaf disease segmentation remains unexplored. Challenges like leaf o...
Jaime Cuevas,Jose Crossa,Abelardo Montesinos-López et al.
Jaime Cuevas et al.
This study integrates genomic and pedigree data by leveraging advanced modeling techniques, aiming to enhance the predictive performance of genomic selection models by capturing complex genetic relationships through the interaction of both ...