Genetic variability of maize stover quality and the potential for genetic improvement of fodder value

Ertiro, Berhanu Tadesse; Twumasi-Afriyie, S.; Blümmel, Michael; Friesen, Dennis; Negera, Demewoz; Worku, Mosisa; Abakemal, Demissew; Kitenge, Kheri

doi:10.1016/j.fcr.2012.12.019

Cited by 37 publications

(57 citation statements)

References 7 publications

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“…The wide genetic variation in grain and straw yields in all trials in this study are in agreement with what was reported by Bidinger et al (2010) in pearl millet and Ertiro et al (2013) in maize. The results of this study showed that yields of grain and straw in late maturing lentil genotypes were affected by location.…”

Section: Grain and Straw Yieldsupporting

confidence: 82%

“…The results of this study showed that yields of grain and straw in late maturing lentil genotypes were affected by location. Ertiro et al (2013) showed similar GXL interactions in grain and stover yield of maize. It implies the possibility of increasing both grain and straw yield of lentil by improving agronomic practices.…”

Section: Grain and Straw Yieldmentioning

confidence: 68%

“…Others studies in maize (Tolera et al, 1998;Ertiro et al, 2013), durum wheat (Tolera et al, 2008), pearl millet (Blummel et al, 2007;Blummel et al, 2010a) and sorghum (Blummel et al, 2010b) also showed wide variations in straw nutritive values. Crude protein content in feeds is important to achieve optimal rumen activity.…”

Section: Straw Nutritive Traitsmentioning

confidence: 99%

“…Where: Yij: grain/straw traits, µ: overall mean, Bi: effect of the block i, Gj: effect of the genotype j, Eij: random error.To evaluate the effect of location and genotype-location interaction (GxL), data from all trials combined and analyzed according to the following model (Ertiro et al, 2013):…”

Section: Calculations and Statistical Analysismentioning

confidence: 99%

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SELECTING FOR FOOD-FEED TRAITS IN EARLY AND LATE MATURING LENTIL GENOTYPES(Lens culinaris)

Wamatu¹,

Mersha²,

Tolera³

et al. 2017

JEBAS

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To explore genetic and environmental variability of food-feed traits in lentil genotypes, straws of 78elite genotypes and 4 checks of early and late maturing lentil types were evaluated for their nutritive value and potential trade-offs of the nutritive parameters with straw yield and grain yield. Further, effects of genotypic and environmental sources on variation in the nutritive value were also determined. Straw nutritive traits were analyzed by a combination of conventional laboratory techniques and Near Infrared Reflectance Spectroscopy. Results from eight trials carried out across 3 different sites in Ethiopia showed highly significant genotypic variation (P<0.05) in grain yield, straw yields and straw nutritive traits. This confirmed the existence of exploitable genetic variation in these traits. Similarly, the relationship between grain yield and straw yield was positive. The correlation between grain yield and nutritive parameters of straw was insignificant or negative. The correlation between maturity types and straw traits was either neutral or negative. Genotype by environment interactions were significant (P<0.05) for straw yield and nutritive traits indicating that variation in the traits is dependent of environment. It is possible to develop genotypes with a combination of food -feed traits from early and late maturing lentil types to address the high demand for grain and livestock fodder in various agro ecological zones in mixed crop-livestock farming systems using appropriate breeding approaches.

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Section: Grain and Straw Yieldsupporting

confidence: 82%

Section: Grain and Straw Yieldmentioning

confidence: 68%

Section: Straw Nutritive Traitsmentioning

confidence: 99%

Section: Calculations and Statistical Analysismentioning

confidence: 99%

See 2 more Smart Citations

SELECTING FOR FOOD-FEED TRAITS IN EARLY AND LATE MATURING LENTIL GENOTYPES(Lens culinaris)

Wamatu¹,

Mersha²,

Tolera³

et al. 2017

JEBAS

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show abstract

“…The starting point for successful breeding programs is the genetic variability, which is maximized by interbreeding different genotypes associated with agronomic traits of interest for the selection (Ertiro et al 2013). The genetic divergence among individuals or populations is estimated by biometric models, usually analyzed by multivariate statistical methods with multiple information of each access expressed in dissimilarity measures (Sudré et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Genetic dissimilarity and definition of recombination clusters among green corn half-sib progenies

et al. 2016

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AbstrAct:The present study aimed to estimate the genetic divergence among corn half-sib progenies seeking to direct recombination between contrasting and superior progenies for green corn production. Ninety-six progenies were evaluated in a randomized block design with 3 replications, and 18 characteristics associated with agronomic adaptation and green corn yield were measured. The genetic divergence was estimated using The grouping allowed to identify superior and contrasting progenies for green corn production. The recombination of these progenies allows increasing genetic variability and the frequency of alleles favorable to the green corn production.

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High‐cut harvesting of maize stover and genotype choice can provide improved feed for ruminants and stubble for conservation agriculture

et al. 2021

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In smallholder crop–livestock systems where maize (Zea mays L.) is a staple cereal, the stover is usually an important but low‐quality ruminant feed. Maize stover has various competing uses, and optimal allocation of stover, particularly for forage and mulch, is essential for improving whole‐farm productivity and sustainability. Knowledge that feed quality increases with height in maize stover provides opportunities. An experiment investigated the effects of a high cutting height of stover at grain harvest (cut at two internodes below the lowest ear) on the yields and feed quality of the upper and lower stover (stubble) fractions. Measurements were made on six maize genotypes at two sites during two cropping seasons in Ethiopia. The upper stover fraction (USF) on average comprised 674 g kg–1 of the entire stover and was also substantially higher (P < .001) than the lower stover fraction (LSF) in in vitro dry matter digestibility (527 vs. 450 g kg−1 dry matter [DM]) and total N concentrations (8.8 vs. 6.2 g kg−1 DM) and was lower in fiber. Stems (including leaf sheath and tassel), husks (including shank), and leaf blade comprised 484, 310, and 206 g kg−1 of the USF, respectively. Yields and feed quality of stover varied among genotypes and environments. Use of an USF can provide a feedstuff of increased nutritional quality for ruminants, but the efficacy of the LSF for mulch requires investigation. In conclusion, a simple management change to harvest maize stover at higher stubble height combined with use of appropriate genotypes can provide higher‐quality feed while leaving stubble for conservation agriculture.

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Genetic variability of maize stover quality and the potential for genetic improvement of fodder value

Cited by 37 publications

References 7 publications

SELECTING FOR FOOD-FEED TRAITS IN EARLY AND LATE MATURING LENTIL GENOTYPES(Lens culinaris)

SELECTING FOR FOOD-FEED TRAITS IN EARLY AND LATE MATURING LENTIL GENOTYPES(Lens culinaris)

Genetic dissimilarity and definition of recombination clusters among green corn half-sib progenies

High‐cut harvesting of maize stover and genotype choice can provide improved feed for ruminants and stubble for conservation agriculture

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