five

Optimizing maize yield in West and Central Africa

收藏
DataONE2025-08-07 更新2025-08-23 收录
下载链接:
https://search.dataone.org/view/sha256:4bde507976155a0ae7c0413beb1e76921c56c3207918e34b85f15eaf422dda3f
下载链接
链接失效反馈
官方服务:
资源简介:
A study was conducted in four different environments of Ghana. The aim was to optimize maize by developing maize hybrids tolerant of high plant density. The hybrids were evaluated under three plant densities, namely, high (88,888 plants/ha), medium (66,666 plants/ha), and low (53,333 plants/ha). The experimental design was 8 x 6 alpha lattice with split plot. The experiment was replicated two times in each of the four environments. Data on different phenotypic traits were collected either by measuring or counting., The data are collected from field experiments. Most of them were directly entered into Excel sheets using a tablet in the field, but some were recorded into a hard copy of data collecting sheets. Some data were transformed, but both the original and the transformed data are all available in the Excel file. , , ## Optimizing_maize_yield_in_West_and_Central_Africa [https://doi.org/10.5061/dryad.sbcc2frj9](https://doi.org/10.5061/dryad.sbcc2frj9) ## Description of the data and file structure The data are phenotypic data of maize hybrids.  The data are collected from four environments. The environments are written in full in the excel, except “Legon minor season” which is written as Legon_Mi, and “Legon off season” which is written as Legon_off. The data are put in one Excel file, but two separate sheets. The first excel sheet has data which were collected during harvesting and after harvest, and the second excel sheet has data which were collected before harvesting. All the data were collected from four environments, except days to maturity, chlorophyll content, and tassel size which were determined only from one, two, and three environments, respectively. For the environments where these parameters (traits) were not collected, the Excel cells are filled with \"n/a\". Plant Density (PD), Enviro...,
创建时间:
2025-08-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作