Estimating Cotton Yield
Vol. 2021 Núm. 3, Agronomy Department
Vol. 2021 Núm. 3

Estimating Cotton Yield: SS-AGR-450/AG450, 03/2021

Agronomy Department
https://doi.org/10.32473/edis-ag450-2021
Publicado 2021-05-06
Michael J. Mulvaney
University of Florida
https://orcid.org/0000-0002-7947-1467
Emma Brooks
University of Florida
Pratap Devkota
University of Florida
Ethan Carter
University of Florida
De Broughton
University of Florida
Mark Mauldin
University of Florida
Joseph Iboyi
University of Florida
Mahesh Bashyal
University of Florida
David Wright
University of Florida
https://orcid.org/0000-0003-1574-9738
Ian Small
University of Florida
https://orcid.org/0000-0001-5406-3486
Cotton in Washington County.
view on EDIS (English)
PDF-2021 (English)

Palabras clave

boll
boll opener

Cómo citar

Mulvaney, Michael J., Emma Brooks, Pratap Devkota, Ethan Carter, De Broughton, Mark Mauldin, Joseph Iboyi, Mahesh Bashyal, David Wright, y Ian Small. 2021. «Estimating Cotton Yield: SS-AGR-450 AG450, 03 2021». EDIS 2021 (3). Gainesville, FL. https://doi.org/10.32473/edis-ag450-2021.
APA Chicago IEEE MLA

Descargar cita

Endnote/Zotero/Mendeley (RIS) BibTeX

Resumen

Preharvest estimation of cotton yield can help growers to determine their return on investment, assess weather-related damages, and adjust crop management. This publication outlines the steps to calculate a reliable estimate of cotton yield. Written by Michael J. Mulvaney, Emma Brooks, Pratap Devkota, Ethan Carter, De Broughton, Mark Mauldin, Joseph Iboyi, Mahesh Bashyal, David Wright, and Ian Small, and published by the UF/IFAS Agronomy Department, March 2021.

https://doi.org/10.32473/edis-ag450-2021
view on EDIS (English)
PDF-2021 (English)

Unless otherwise specified, articles published in the EDIS journal after January 1, 2024 are licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International (CC BY-NC-ND 4.0) license.

Artículos más leídos del mismo autor/a

1 2 3 4 5 > >>