Modeling Growth and Yield of the Endemic “Loka Pere” Banana Based on Soil Macronutrient Availability

Cahyo Prayogo; Jacob Fettig; Marthen P. Sirappa

Makale detayları

Modeling Growth and Yield of the Endemic “Loka Pere” Banana Based on Soil Macronutrient Availability

Yazarlar:

Cahyo Prayogo | Jacob Fettig | Marthen P. Sirappa

Yayıncı:

Van Yuzuncu Yıl University

Ana Başlıklar:

Horticultural Production (Other) | Agricultural Systems Analysis and Modelling | Agricultural Production Systems Simulation | Plant Nutrition and Soil Fertility

Dergi:

Yuzuncu Yıl University Journal of Agricultural Sciences Vol.34 Issue 4, pp.629-648

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001333254

pISSN:

1308-7576

Anahtar kelimeler:

Özet:

 Agrobiodiversity is critical to agroecosystem health, and a key source of agrobiodiversity is farmers varieties. Reintegration of these resources into agroecosystems requires improving their knowledge base, including the creation of crop models. One underutilized farmers variety is Loka Pere, a local banana Musa spp. found in Adolang and Adolang Dhua villages, Majene Regency, West Sulawesi. The purpose of this study was to create a simple growth model simulating Loka Peres growth response to soil macronutrient concentrations across three traditional growth environments. Soil samples were collected and analyzed for Ntot, Corg, C:N, pH, Pav, Kexc, Naexc, Caexc, Mgexc, and CEC. Plants were measured for pseudostem circumference at the plant base and 1 meter height, plant height, and hands per bunch at three growth phases. Principal component analysis was used to define a productivity index. Multiple linear regression models and non-linear generalized additive models were fit utilizing soil parameters as input variables and growth parameters individually as response variables. Growth models varied in goodness of fit R2  0.11 to 0.69. The most important soil variables for Loka Pere growth were Ntot, Caexc, and CEC, and the most important soil variables for yield were pH, CEC, and Pav. The growth responses of Loka Pere to the availability of certain nutrients differed from responses found in studies on other varieties.

 Agrobiodiversity is critical to agroecosystem health, and a key source of agrobiodiversity is farmers varieties. Reintegration of these resources into agroecosystems requires improving their knowledge base, including the creation of crop models. One underutilized farmers variety is Loka Pere, a local banana Musa spp. found in Adolang and Adolang Dhua villages, Majene Regency, West Sulawesi. The purpose of this study was to create a simple growth model simulating Loka Peres growth response to soil macronutrient concentrations across three traditional growth environments. Soil samples were collected and analyzed for Ntot, Corg, C:N, pH, Pav, Kexc, Naexc, Caexc, Mgexc, and CEC. Plants were measured for pseudostem circumference at the plant base and 1 meter height, plant height, and hands per bunch at three growth phases. Principal component analysis was used to define a productivity index. Multiple linear regression models and non-linear generalized additive models were fit utilizing soil parameters as input variables and growth parameters individually as response variables. Growth models varied in goodness of fit R2  0.11 to 0.69. The most important soil variables for Loka Pere growth were Ntot, Caexc, and CEC, and the most important soil variables for yield were pH, CEC, and Pav. The growth responses of Loka Pere to the availability of certain nutrients differed from responses found in studies on other varieties.

 Agrobiodiversity is critical to agroecosystem health, and a key source of agrobiodiversity is farmers varieties. Reintegration of these resources into agroecosystems requires improving their knowledge base, including the creation of crop models. One underutilized farmers variety is Loka Pere, a local banana Musa spp. found in Adolang and Adolang Dhua villages, Majene Regency, West Sulawesi. The purpose of this study was to create a simple growth model simulating Loka Peres growth response to soil macronutrient concentrations across three traditional growth environments. Soil samples were collected and analyzed for Ntot, Corg, C:N, pH, Pav, Kexc, Naexc, Caexc, Mgexc, and CEC. Plants were measured for pseudostem circumference at the plant base and 1 meter height, plant height, and hands per bunch at three growth phases. Principal component analysis was used to define a productivity index. Multiple linear regression models and non-linear generalized additive models were fit utilizing soil parameters as input variables and growth parameters individually as response variables. Growth models varied in goodness of fit R2  0.11 to 0.69. The most important soil variables for Loka Pere growth were Ntot, Caexc, and CEC, and the most important soil variables for yield were pH, CEC, and Pav. The growth responses of Loka Pere to the availability of certain nutrients differed from responses found in studies on other varieties.

 Agrobiodiversity is critical to agroecosystem health, and a key source of agrobiodiversity is farmers varieties. Reintegration of these resources into agroecosystems requires improving their knowledge base, including the creation of crop models. One underutilized farmers variety is Loka Pere, a local banana Musa spp. found in Adolang and Adolang Dhua villages, Majene Regency, West Sulawesi. The purpose of this study was to create a simple growth model simulating Loka Peres growth response to soil macronutrient concentrations across three traditional growth environments. Soil samples were collected and analyzed for Ntot, Corg, C:N, pH, Pav, Kexc, Naexc, Caexc, Mgexc, and CEC. Plants were measured for pseudostem circumference at the plant base and 1 meter height, plant height, and hands per bunch at three growth phases. Principal component analysis was used to define a productivity index. Multiple linear regression models and non-linear generalized additive models were fit utilizing soil parameters as input variables and growth parameters individually as response variables. Growth models varied in goodness of fit R2  0.11 to 0.69. The most important soil variables for Loka Pere growth were Ntot, Caexc, and CEC, and the most important soil variables for yield were pH, CEC, and Pav. The growth responses of Loka Pere to the availability of certain nutrients differed from responses found in studies on other varieties.

Makale detayları

Modeling Growth and Yield of the Endemic “Loka Pere” Banana Based on Soil Macronutrient Availability

Yazarlar:

Cahyo Prayogo | Jacob Fettig | Marthen P. Sirappa

Yayıncı:

Van Yuzuncu Yıl University

Ana Başlıklar:

Horticultural Production (Other) | Agricultural Systems Analysis and Modelling | Agricultural Production Systems Simulation | Plant Nutrition and Soil Fertility

Dergi:

Yuzuncu Yıl University Journal of Agricultural Sciences Vol.34 Issue 4, pp.629-648

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001333254

pISSN:

1308-7576

Agrobiodiversity

Crop modelling

Farmers' varieties

MLR

Musa spp.

Sayı

Makale detayları

Modeling Growth and Yield of the Endemic “Loka Pere” Banana Based on Soil Macronutrient Availability

Yazarlar: Cahyo Prayogo | Jacob Fettig | Marthen P. Sirappa

Yayıncı: Van Yuzuncu Yıl University

Ana Başlıklar: Horticultural Production (Other) | Agricultural Systems Analysis and Modelling | Agricultural Production Systems Simulation | Plant Nutrition and Soil Fertility

Dergi: Yuzuncu Yıl University Journal of Agricultural Sciences Vol.34 Issue 4, pp.629-648

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001333254

pISSN: 1308-7576

Agrobiodiversity

Crop modelling

Farmers' varieties

MLR

Musa spp.

Sayı

Yazarlar:

Cahyo Prayogo | Jacob Fettig | Marthen P. Sirappa

Yayıncı:

Van Yuzuncu Yıl University

Ana Başlıklar:

Horticultural Production (Other) | Agricultural Systems Analysis and Modelling | Agricultural Production Systems Simulation | Plant Nutrition and Soil Fertility

Dergi:

Yuzuncu Yıl University Journal of Agricultural Sciences Vol.34 Issue 4, pp.629-648

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001333254

pISSN:

1308-7576