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Habte Berhanu* and Adugna Hunduma Dabalo
Fedis Agricultural Research Center
*Corresponding author: Habte Berhanu, Fedis Agricultural Research Center, Ethiopia
Submission: June 19, 2018; Published: August 23, 2018
Evaluation of Soya Bean Varieties at Moisture
Stress of Eastern Harerghe Zone
286Copyright © All rights are reserved by Habte Berhanu.
Volume 3 - Issue - 2
Research Article
Introduction
Soybean (Glycine max) is one of the most valuable crops in
the world, due to its multiple uses as a source of livestock and
aquaculture feed, protein and oil for the human diet and biofuel
besides producing valuable grain, soybean fixes between 44
and 300kgNha-1
which makes a significant N contribution to
intercropped and rotated cereal crops. For example, Peoples and
Craswell 1992 estimated the improvement of maize crop following
soybean crop at between 0.5 and 3.5tons ha-1
or 30-350% relative
to maize-maize sequences.
The yields of soybean in most parts of Africa can increase from
0.5 to 2.5tons ha-1 if the recommended steps are followed during
their production. In most cases when soybean yields exceed 1.2ton
ha-1
, farmers are likely to make profits but at less than 0.7tons/
ha farmers may not be able to recoup the cost of production. As
soybean market value is good, application of little fertilizer like
20kgPha-1, starter nitrogen and inoculant is often profitable
even with conservative yield increment of 0.5tons ha-1
. Important
measures for boosting soybean yields include; adoption of high
yielding seed varieties, soil fertility management, pest/disease
control, observing the most appropriate planting time. This section
reviews existing knowledge on some of the best management
practices for soybean.
Soya bean is a multi-purpose crop. The area of production for
soybeans is expected to increase due raised demand of domestic
processing industries and boosted demand for use in animal
feed. Ethiopia is strategically located closer to the world’s largest
consumers EIAR 2011. The reasons for low productivity of this
crop are due to various reasons but the major reason is lack of high
yielding improved varieties. To improve such low productivity,
specially; in eastern Harerghe adaptation of high yielding varieties
with proper plant architecture and duration was effectively done
and it has paramount importance. For this purpose, the seven
varieties with suitable plant types were selected from Bako
Agricultural Research Center and adapted. This experiment was
conducted with the objective of identify superior genotypes in
terms of yield, insect pest & disease tolerance/resistance and with
desirable agronomic traits for the last two years 2014 & 2015.
Materials and Methods
The study was conducted at mid-altitude of Eastern Harerghe
Fadis on station. Six improved soybean varieties (dhidhessa, ketta,
korme,ethio-ugislavia,hawasa04andawasa95)werecollectedfrom
Bako Agricultural Research Center. Standard check (clark) were
used to compare with those improved varieties. Recommended
spacing was used with plot size of 3mx4m. Seed rate of 134kg/ha
were used for each variety depending on the seed size [1-14].
Results and Discussion
With the objective of evaluating the performance ability/
adaptability/ of the soybean varieties in terms of yield, and yield
related traits, the trial was undertaken on 3m*4m for last two
years on one location (Fadis). So far, data on disease and insect
pest incidence, days to maturity, number of pods per plant, seed of
seeds per pod, number of seeds per plant were taken. All data were
Modern Concepts & Developments
in AgronomyC CRIMSON PUBLISHERS
Wings to the Research
ISSN 2637-7659
Abstract
Soya bean is a multi-purpose crop. The area of production for soybeans is expected to increase due raised demand of domestic processing industries
and boosted demand for use in animal feed. This experiment were conducted with the objective of identify superior genotypes in terms of yield, insect
pest & disease tolerance/resistance and with desirable agronomic traits for the last two years of (2014 & 2015). Analysis of variance showed that there
were significant difference among the varieties in terms of disease reaction, grain yield and yield related attributes. Korme, Ethio-eugoslavia and Didesa
provided about 32.67%, 29.11%, 22.55%, yield advantages over the standard check (Clark), respectively. Therefore, the three high yielding varieties
(Korme, Ethio-eugoslavia, and Didesa) were selected and recommended for further production at Fedis and similar agro-ecologies.
Keywords: Variety; Adaptability; Yield advantages
Mod Concep Dev Agrono Copyright © Habte Berhanu
287How to cite this article: Habte B, Adugna H D. Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone. Mod Concep Dev
Agrono.3(2). MCDA.000559. 2018. DOI: 10.31031/MCDA.2018.03.000559
Volume 3 - Issue - 2
collected and analyzed by using the Gen STAT software. Analysis of
ANOVA showed that there were significant difference among the
varieties in terms of disease reaction, grain yield and yield related
attributes.ThetableANOVAshowsthepooledmeanyieldofsoybean
varieties at one location and years 2014 & 2015 in adaptation trial
was significant (5%) difference. It was clearly indicated that korme,
ethio-eugoslavia and Didesa were superior to the standard check
and selected for further production and promotion program. Awasa
04 was very sensitive to diseases reaction (Table 1).
Table 1.
Mean
Treatment Name MD Ppp Spp Yield(kg/ha)
Korme 136a 111a 2.5 2745a
Keta 136a 82abc 2.467 2103bc
Didesa 136a 87abc 2.433 2563ab
Ethio-eugolavia 132a 91abc 2.6 2681a
hawasa04 122ab 87abc 2.5 1801c
awasa95 108b 105ab 2.5 1918c
Clark(st.ck) 122ab 73c 2.5 1798c
CV% 9.2 25.1 11.5 19.3
LSD 13.74 26.68 0.34 509.8
PV (5%) * * NS *
Note: NB: MD: Maturity Date; Ppp: Pod per Plant; Spp:
Seeds per Pod; Yield (kg/ha): grain yield in kilogram per
hectare; NS: Not Significant
Recommendation
The analysis of variance showed that significant differences for
grain yield among evaluated varieties. Korme, Ethio-eugoslavia and
Didesa provided about 32.67%, 29.11%, 22.55%, yield advantages
over the standard check (Clark), respectively. Therefore, the three
high yielding varieties (Korme, Ethio-eugoslavia, and Didesa) were
selected and recommended for further production at Fedis and
similar agro-ecologies.
References
1.	 Agarwal AP, Patil SA, Salimath PM (2000) Identification of potential
soybean genotypes for pod shattering resistance and seed yield. Crop
Improvement 27: 236-239.
2.	 Allard RW (1960) Principles of Plant Breeding. John Wiley and Sons Inc.
New York, USA.
3.	 Ansari BA, Ansari KA, Khund A (2004) Extent of Heterosis and
heritability in some quantitative characters of bread wheat. Indus J Plant
Sci 3: 189-192.
4.	 Aravind GRR, Hanchinal (2006) Genetic variability and diversity studies
in soybean. In: Bangar ND, Mukhekar GR, Lad DB, Mukhekar DG (Eds.),
Genetic variability, correlation and regression studies in soybean. J
Maharashtra Agric Univ 28: 320-321.
5.	 Basavaraja GT (2002) Studies on induced mutagenesis in soybean Ph. D.
Thesis, University of Agricultural Sciences, Dharwad, India.
6.	 Burton CW, Devane EH (1953) Estimating heritability in tall Festuca
(Restuca arundinaceae) from donar material. Agron J 45: 1476-1481.
7.	 Cochran WG, M Cox (1957) Experimental designs. John Wiley and Sons,
Inc, New York, USA, p. 611.
8.	 CSA (Central Statistics Agency) (2012) Crop production forecast sample
survey. Report on area and crop production forecast for major crops (For
Private Peasant Holding, Meher Season). Statistical Bull, p. 568.
9.	 Fisher RA (1918) The correlation between relatives on the supposition
of Mendelian inheritance. Trans Royal Society, Edinburgh 52: 399-443.
10.	Gopalan C, Ramashastry BV, Balasubramanian SC (1994) Nutritive value
of Indian foods. Indian Council of Medical Research, India, pp. 24-26.
11.	Hayman BD, Mather (1955) The description of genetic interaction in
continuous variation. Biometrics 11: 68-82.
12.	Hinaausar J (2005) Genetic investigations in segregating populations
of soybean. In: Johansson WL (Ed.), University of Agricultural Sciences,
Dharwad, USA.
13.	Johnson HW, Robinson HF, Comstock RE (1955) Estimates of genetic and
environmental variability in soybeans. Agronomy Journal 47: 314-318.
14.	Karad SR, Harer PN, Kadam DB, Shinde RB (2005) Genotypic and
phenotypic variability in soybean.
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Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone by Habte Berhanu in Modern Concepts & Developments in Agronomy

  • 1. Habte Berhanu* and Adugna Hunduma Dabalo Fedis Agricultural Research Center *Corresponding author: Habte Berhanu, Fedis Agricultural Research Center, Ethiopia Submission: June 19, 2018; Published: August 23, 2018 Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone 286Copyright © All rights are reserved by Habte Berhanu. Volume 3 - Issue - 2 Research Article Introduction Soybean (Glycine max) is one of the most valuable crops in the world, due to its multiple uses as a source of livestock and aquaculture feed, protein and oil for the human diet and biofuel besides producing valuable grain, soybean fixes between 44 and 300kgNha-1 which makes a significant N contribution to intercropped and rotated cereal crops. For example, Peoples and Craswell 1992 estimated the improvement of maize crop following soybean crop at between 0.5 and 3.5tons ha-1 or 30-350% relative to maize-maize sequences. The yields of soybean in most parts of Africa can increase from 0.5 to 2.5tons ha-1 if the recommended steps are followed during their production. In most cases when soybean yields exceed 1.2ton ha-1 , farmers are likely to make profits but at less than 0.7tons/ ha farmers may not be able to recoup the cost of production. As soybean market value is good, application of little fertilizer like 20kgPha-1, starter nitrogen and inoculant is often profitable even with conservative yield increment of 0.5tons ha-1 . Important measures for boosting soybean yields include; adoption of high yielding seed varieties, soil fertility management, pest/disease control, observing the most appropriate planting time. This section reviews existing knowledge on some of the best management practices for soybean. Soya bean is a multi-purpose crop. The area of production for soybeans is expected to increase due raised demand of domestic processing industries and boosted demand for use in animal feed. Ethiopia is strategically located closer to the world’s largest consumers EIAR 2011. The reasons for low productivity of this crop are due to various reasons but the major reason is lack of high yielding improved varieties. To improve such low productivity, specially; in eastern Harerghe adaptation of high yielding varieties with proper plant architecture and duration was effectively done and it has paramount importance. For this purpose, the seven varieties with suitable plant types were selected from Bako Agricultural Research Center and adapted. This experiment was conducted with the objective of identify superior genotypes in terms of yield, insect pest & disease tolerance/resistance and with desirable agronomic traits for the last two years 2014 & 2015. Materials and Methods The study was conducted at mid-altitude of Eastern Harerghe Fadis on station. Six improved soybean varieties (dhidhessa, ketta, korme,ethio-ugislavia,hawasa04andawasa95)werecollectedfrom Bako Agricultural Research Center. Standard check (clark) were used to compare with those improved varieties. Recommended spacing was used with plot size of 3mx4m. Seed rate of 134kg/ha were used for each variety depending on the seed size [1-14]. Results and Discussion With the objective of evaluating the performance ability/ adaptability/ of the soybean varieties in terms of yield, and yield related traits, the trial was undertaken on 3m*4m for last two years on one location (Fadis). So far, data on disease and insect pest incidence, days to maturity, number of pods per plant, seed of seeds per pod, number of seeds per plant were taken. All data were Modern Concepts & Developments in AgronomyC CRIMSON PUBLISHERS Wings to the Research ISSN 2637-7659 Abstract Soya bean is a multi-purpose crop. The area of production for soybeans is expected to increase due raised demand of domestic processing industries and boosted demand for use in animal feed. This experiment were conducted with the objective of identify superior genotypes in terms of yield, insect pest & disease tolerance/resistance and with desirable agronomic traits for the last two years of (2014 & 2015). Analysis of variance showed that there were significant difference among the varieties in terms of disease reaction, grain yield and yield related attributes. Korme, Ethio-eugoslavia and Didesa provided about 32.67%, 29.11%, 22.55%, yield advantages over the standard check (Clark), respectively. Therefore, the three high yielding varieties (Korme, Ethio-eugoslavia, and Didesa) were selected and recommended for further production at Fedis and similar agro-ecologies. Keywords: Variety; Adaptability; Yield advantages
  • 2. Mod Concep Dev Agrono Copyright © Habte Berhanu 287How to cite this article: Habte B, Adugna H D. Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone. Mod Concep Dev Agrono.3(2). MCDA.000559. 2018. DOI: 10.31031/MCDA.2018.03.000559 Volume 3 - Issue - 2 collected and analyzed by using the Gen STAT software. Analysis of ANOVA showed that there were significant difference among the varieties in terms of disease reaction, grain yield and yield related attributes.ThetableANOVAshowsthepooledmeanyieldofsoybean varieties at one location and years 2014 & 2015 in adaptation trial was significant (5%) difference. It was clearly indicated that korme, ethio-eugoslavia and Didesa were superior to the standard check and selected for further production and promotion program. Awasa 04 was very sensitive to diseases reaction (Table 1). Table 1. Mean Treatment Name MD Ppp Spp Yield(kg/ha) Korme 136a 111a 2.5 2745a Keta 136a 82abc 2.467 2103bc Didesa 136a 87abc 2.433 2563ab Ethio-eugolavia 132a 91abc 2.6 2681a hawasa04 122ab 87abc 2.5 1801c awasa95 108b 105ab 2.5 1918c Clark(st.ck) 122ab 73c 2.5 1798c CV% 9.2 25.1 11.5 19.3 LSD 13.74 26.68 0.34 509.8 PV (5%) * * NS * Note: NB: MD: Maturity Date; Ppp: Pod per Plant; Spp: Seeds per Pod; Yield (kg/ha): grain yield in kilogram per hectare; NS: Not Significant Recommendation The analysis of variance showed that significant differences for grain yield among evaluated varieties. Korme, Ethio-eugoslavia and Didesa provided about 32.67%, 29.11%, 22.55%, yield advantages over the standard check (Clark), respectively. Therefore, the three high yielding varieties (Korme, Ethio-eugoslavia, and Didesa) were selected and recommended for further production at Fedis and similar agro-ecologies. References 1. Agarwal AP, Patil SA, Salimath PM (2000) Identification of potential soybean genotypes for pod shattering resistance and seed yield. Crop Improvement 27: 236-239. 2. Allard RW (1960) Principles of Plant Breeding. John Wiley and Sons Inc. New York, USA. 3. Ansari BA, Ansari KA, Khund A (2004) Extent of Heterosis and heritability in some quantitative characters of bread wheat. Indus J Plant Sci 3: 189-192. 4. Aravind GRR, Hanchinal (2006) Genetic variability and diversity studies in soybean. In: Bangar ND, Mukhekar GR, Lad DB, Mukhekar DG (Eds.), Genetic variability, correlation and regression studies in soybean. J Maharashtra Agric Univ 28: 320-321. 5. Basavaraja GT (2002) Studies on induced mutagenesis in soybean Ph. D. Thesis, University of Agricultural Sciences, Dharwad, India. 6. Burton CW, Devane EH (1953) Estimating heritability in tall Festuca (Restuca arundinaceae) from donar material. Agron J 45: 1476-1481. 7. Cochran WG, M Cox (1957) Experimental designs. John Wiley and Sons, Inc, New York, USA, p. 611. 8. CSA (Central Statistics Agency) (2012) Crop production forecast sample survey. Report on area and crop production forecast for major crops (For Private Peasant Holding, Meher Season). Statistical Bull, p. 568. 9. Fisher RA (1918) The correlation between relatives on the supposition of Mendelian inheritance. Trans Royal Society, Edinburgh 52: 399-443. 10. Gopalan C, Ramashastry BV, Balasubramanian SC (1994) Nutritive value of Indian foods. Indian Council of Medical Research, India, pp. 24-26. 11. Hayman BD, Mather (1955) The description of genetic interaction in continuous variation. Biometrics 11: 68-82. 12. Hinaausar J (2005) Genetic investigations in segregating populations of soybean. In: Johansson WL (Ed.), University of Agricultural Sciences, Dharwad, USA. 13. Johnson HW, Robinson HF, Comstock RE (1955) Estimates of genetic and environmental variability in soybeans. Agronomy Journal 47: 314-318. 14. Karad SR, Harer PN, Kadam DB, Shinde RB (2005) Genotypic and phenotypic variability in soybean. For possible submissions Click Here Submit Article Creative Commons Attribution 4.0 International License Modern Concepts & Developments in Agronomy Benefits of Publishing with us • High-level peer review and editorial services • Freely accessible online immediately upon publication • Authors retain the copyright to their work • Licensing it under a Creative Commons license • Visibility through different online platforms