Robustness of high-throughput prediction of leaf ecophysiological traits usin...

B2FIND2026-03-19 收录

高通量植物表型

叶片生态生理性状预测

数据链接：

https://b2find.eudat.eu/dataset/ca8d8447-046f-54f5-b07d-758f3c6e57b1 数据链接链接失效反馈

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This dataset comes from two experiments performed on a diversity panel of 279 grapevine (Vitis Vinifera L.) cultivars, designed to be representative of the genetic diversity of...

Table_6_Comparative Aerial and Ground Based High Throughput Phenotyping for the Genetic Dissection of NDVI as a Proxy for Drought Adaptive Traits in Durum Wheat.XLSX

高通量植物表型

干旱适应性遗传解析

High-throughput phenotyping platforms (HTPPs) provide novel opportunities to more effectively dissect the genetic basis of drought-adaptive traits. This genome-wide association study (GWAS) compares t

NIAID Data Ecosystem40

APPF TPA phenotyping dataset: UA ACPFG (Roy, Hairmansis) - Rice (1)

水稻表型分析

高通量植物表型

Images and data from rice phenotyping studies performed at the APPF Plant Accelerator (TPA), University of Adelaide, on behalf of UA ACPFG (Roy, Hairmansis) ending 2012-03-26

NIAID Data Ecosystem20

Table_2_Within and combined season prediction models for perennial ryegrass biomass yield using ground- and air-based sensor data.XLSX

牧草生物量预测

高通量植物表型

Across-season biomass assessment is crucial in the cultivar selection process to accurately evaluate the yield performance of lines under different growing conditions. However, it has been difficult t

NIAID Data Ecosystem10

Robustness of high-throughput prediction of leaf ecophysiological traits using near infra-red spectroscopy and poro-fluorometry.

药用植物表型组学

叶片生态生理性状预测

This dataset comes from two experiments performed on a diversity panel of 279 grapevine (Vitis Vinifera L.) cultivars, designed to be representative of the genetic diversity of the worldwide diversity

Recherche Data Gouv France2025-01-01 更新20

Data_Sheet_1_Deploying a Proximal Sensing Cart to Identify Drought-Adaptive Traits in Upland Cotton for High-Throughput Phenotyping.xlsx

作物抗旱表型鉴定

高通量植物表型

Field-based high-throughput phenotyping is an emerging approach to quantify difficult, time-sensitive plant traits in relevant growing conditions. Proximal sensing carts represent an alternative platf

NIAID Data Ecosystem20

Robustness of high-throughput prediction of leaf ecophysiological traits usin...

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