Soybean Yield Stability in Eight Locations and Its Potential for Seed Oil Source in Indonesia

被引：5

作者：

Adie, M. Muchlish ^{[1
]}

Krisnawati, Ayda ^{[1
]}

机构：

[1] Indonesian Legumes & Tuber Crops Res Inst, Malang 65101, Indonesia

来源：

NEW AND RENEWABLE ENERGY AND ENERGY CONSERVATION, THE 3RD INDO EBTKE-CONEX 2014, CONFERENCE AND EXHIBITION INDONESIA | 2015年 / 65卷

关键词：

Glycine max; seed oil production; seed yield; stability; ENERGY;

D O I：

10.1016/j.egypro.2015.01.031

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Soybean is a prospective source of biofuel in Indonesia due to adaptive in Indonesian agro ecology, which is 75 d to 85 d to maturity, and high oil seed content. A total of twelve soybean genotypes tested in eight locations in Indonesia in 2013 to assess its potential yield and seed oil production. Seed yield stability was assessed by (Additive Main Effect and Multiplicative Interaction) AMMI method. The seed yield range was 2.15 t ha(-1) to 2.79 t ha(-1) with an average of 2.54 t ha(-1). Seed oil content ranges from 16.57 % to 18.85 % with an average 17.6 %. Four soybean (G5, G7, G9, and G10) as stable genotypes. G9 (L. JatengxSinabung-85) prospective to be used for biodiesel development in Indonesia due to its high yield (2.67 t ha(-1)) and the oil content of 18.85 %, hence its seed oil production reach 504 kg ha(-1). G9 have 80 d to maturity. Potential production of soybean seed oil is determined by the seed yield and oil content. G9 could potentially be used for biodiesel development in Indonesia. (C) 2015 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

引用

页码：223 / 229

页数：7

共 11 条

[1] Soybean Opportunity as Source of New Energy in Indonesia [J].

Adie, M. Muchlish ;

Krisnawati, Ayda .

INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED, 2014, 3 (01) :37-43

[2]

Adie MM, 2013, J BIOL, V12, P79

[3]

Ashraf M, 2010, PAK J BOT, V42, P3899

[4]

Crossa J., 1990, Advances in Agronomy, V44, P55, DOI 10.1016/S0065-2113(08)60818-4

[5]

Gauch Jr H. G., 1992, Statistical analysis of regional yield trials: AMMI analysis of factorial designs, DOI DOI 10.1016/0308-521X(96)86769-2

[6]

Pimentel D., 2005, Natural Resources Research, V14, P65, DOI DOI 10.1007/S11053-005-4679-8

[7]

Pradhan A, 2008, T ASABE, V51, P185, DOI 10.13031/2013.24203

[8]

Sadaka S, 2013, BIODIESEL

[9]

Susanto GWA, 2010, PENELITIAN PERTANIAN, V29, P166

[10]

University of Minnesota, 2006, SOYB BIOD HAS HIGH N

← 1 2 →