New Regression Models for Prediction of Grain Yield Anomalies from Satellite-Based Vegetation Health Indices

2010 ◽  
pp. 105-112
Author(s):  
Gennady Menzhulin ◽  
Natalya Shamshurina ◽  
Artyom Pavlovsky ◽  
Felix Kogan
Keyword(s):  
Grain Yield ◽  
Regression Models ◽  
Health Indices ◽  
Vegetation Health

Characteristics of satellite-based vegetation health indices in Shaanxi, China: 1982–2015

2017 ◽  
pp. 589-593
Author(s):  
Rengui Jiang ◽  
Jiancang Xie ◽  
Fawen Li ◽  
Honghong Liu ◽  
Bin Li
Keyword(s):  
Health Indices ◽  
Vegetation Health

scholarly journals Satellite-based vegetation health indices as a criteria for insuring against drought-related yield losses

2016 ◽  
Vol 220 ◽  
pp. 200-206 ◽  
Author(s):  
R. Bokusheva ◽  
F. Kogan ◽  
I. Vitkovskaya ◽  
S. Conradt ◽  
M. Batyrbayeva
Keyword(s):  
Yield Losses ◽  
Health Indices ◽  
Vegetation Health

Derivation of pasture biomass in Mongolia from AVHRR-based vegetation health indices

2004 ◽  
Vol 25 (14) ◽  
pp. 2889-2896 ◽  
Author(s):  
F. Kogan ◽  
R. Stark ◽  
A. Gitelson ◽  
L. Jargalsaikhan ◽  
C. Dugrajav ◽  
...  
Keyword(s):  
Health Indices ◽  
Vegetation Health

Modelling corn production in China using AVHRR‐based vegetation health indices

2005 ◽  
Vol 26 (11) ◽  
pp. 2325-2336 ◽  
Author(s):  
Felix Kogan ◽  
Bangjie Yang ◽  
Guo Wei ◽  
Pei Zhiyuan ◽  
Jiao Xianfeng
Keyword(s):  
Corn Production ◽  
Health Indices ◽  
Vegetation Health

scholarly journals Five decades of black common bean genetic breeding in Brazil

2016 ◽  
Vol 46 (3) ◽  
pp. 259-266 ◽  
Author(s):  
Leiri Daiane Barili ◽  
Naine Martins do Vale ◽  
José Eustáquio de Souza Carneiro ◽  
Fabyano Fonseca e Silva ◽  
Felipe Lopes da Silva
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Seed Weight ◽  
Regression Models ◽  
Plant Architecture ◽  
Agronomic Traits ◽  
Linear Regression Models ◽  
Genetic Progress ◽  
Breeding Programs ◽  
Genetic Breeding

ABSTRACT The increase in grain yield and other agronomic traits, in common bean cultivars, is due, in large part, to its genetic breeding. This study aimed at estimating the genetic progress for grain yield and other important agronomic traits in black common bean cultivars recommended by Brazilian breeding programs between 1960 and 2013. A randomized blocks design was used, with three replications and 40 black common bean cultivars. The following traits were evaluated: grain yield and appearance, plant architecture, number of pods per plant and seeds per pod and 1,000-seed weight. The genetic progress was estimated from the trait averages over the years, using bissegmented linear regression models that allowed the inference of the exact year in which the black common bean breeding began to present significant genetic progress. For grain yield, the genetic progress was observed from 1988, with an annual gain of 2.42 %. Improvements also occurred to grain appearance (1.85 %), plant architecture (1.35 %), number of pods per plant (2.36 %) and seeds per pod (2.24 %) and 1,000-seed weight (1.42 %), mainly after 1989.

scholarly journals Do remotely-sensed vegetation health indices explain credit risk in agricultural microfinance?

2020 ◽  
Vol 127 ◽  
pp. 104771
Author(s):  
Johannes Möllmann ◽  
Matthias Buchholz ◽  
Wienand Kölle ◽  
Oliver Musshoff
Keyword(s):  
Credit Risk ◽  
Remotely Sensed ◽  
Health Indices ◽  
Vegetation Health
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