Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids

Description

A set of recent CIMMYT era hybrids - spanning from the early 1990s to the late 2000s - was analyzed. The hybrids were grown in four different environments in two locations in Mexico: High nitrogen (HN) and low nitrogen (LN) in Agua Fria, and well watered (WW) and water stressed (WS) in Tlaltizapan. A hyperspectral spectrometer was used to take leaf level reflectance data weekly on all plots from late vegetative stages to maturity. In addition, other typical agronomic traits were recorded: grain yield, plant height, ear height, root and stalk lodging, etc. This dataset also contains vegetation indices that have already been calculated for each plot on each sampling date. The data was used to see how traits changed in CIMMYT hybrids over time.

Resources

Name Format Description Link
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fifth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan. https://data.usaid.gov/d/qzd7-7kac
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the second spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment in Agua Fria. https://data.usaid.gov/d/qemn-58ff
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the sixth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment in Agua Fria. https://data.usaid.gov/d/fwyy-fbc2
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the sixth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan. https://data.usaid.gov/d/72tb-gprp
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the third spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan. https://data.usaid.gov/d/89pv-w6k5
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fourth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan. https://data.usaid.gov/d/segn-cbvf
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fifth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan. https://data.usaid.gov/d/k39a-pwaf
21 A set of recent CIMMYT era hybrids - spanning from the early 1990s to the late 2000s - was analyzed. These data are the results of a hyperspectral spectrometer analysis done in a high nitrogen environment in Agua Fria. In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. https://data.usaid.gov/d/cxum-sm2x
21 A set of recent CIMMYT era hybrids - spanning from the early 1990s to the late 2000s - was analyzed. These data are the results of a hyperspectral spectrometer analysis done in a low nitrogen environment in Agua Fria. In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. https://data.usaid.gov/d/mazx-8xut
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the second spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan. https://data.usaid.gov/d/k4uk-dyqi
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fourth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan. https://data.usaid.gov/d/2y5c-gmn2
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fourth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a High Nitrogen Environment in Agua Fria. https://data.usaid.gov/d/v4g6-v2tp
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fifth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a High Nitrogen Environment in Agua Fria. https://data.usaid.gov/d/m6jc-wwgt
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the second spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a High Nitrogen Environment in Agua Fria. https://data.usaid.gov/d/qnxv-dzdi
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the third spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment in Agua Fria. https://data.usaid.gov/d/6pgf-er9y
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fourth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment in Agua Fria. https://data.usaid.gov/d/irku-yfu9
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the third spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan. https://data.usaid.gov/d/vwa6-dg5n
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the second spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan. https://data.usaid.gov/d/wi28-umk6
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the third spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a High Nitrogen Environment in Agua Fria. https://data.usaid.gov/d/kau2-7yx3
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the sixth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan. https://data.usaid.gov/d/ak3s-sicy
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fifth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment in Agua Fria. https://data.usaid.gov/d/g9rd-m7uc
21 A set of recent CIMMYT era hybrids - spanning from the early 1990s to the late 2000s - was analyzed. These data are the results of a hyperspectral spectrometer analysis done in a water stressed environment in Tlaltizapan. In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. https://data.usaid.gov/d/v3zn-e2y8
21 A set of recent CIMMYT era hybrids - spanning from the early 1990s to the late 2000s - was analyzed. These data are the results of a hyperspectral spectrometer analysis done in a well watered environment in Tlaltizapan. In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. https://data.usaid.gov/d/3snk-vxrz
21 In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the sixth spreadsheet in the Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a High Nitrogen Environment in Agua Fria. https://data.usaid.gov/d/v7pc-y2kc

Tags

  • cimmyt
  • water-stress
  • agriculture
  • nitrogen-stress
  • vegetation-indices
  • era-hybrids
  • hyperspectral-sensor
  • maize

Topics

Categories