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KORELASI GENOTIPIK ANTARA HASIL DENGAN TINGKAT KETAHANAN TERHADAP PENYAKIT BERCAK DAUN HITAM PADA KACANG TANAH Yudiwanti, ,; Sastrosumarjo, S.; Hadi, S.; Karama, S.; Surkati, A.; Mattjik, A. A.
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol 26, No 1 (1998): Buletin Agronomi
Publisher : Bogor Agricultural University

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Abstract

A field evaluation was conducted to study the genotypic correlation between yield potentials and resistance level to the late leafspot of peanut. The experiment was carried out at Muara experimental-field from October 1994 to January 1995 using 100 genotypes with natural late leafspot inoculation. The result showed that the resistance level to late leafspot, wish was quantitatively reflected by the fresh-leaves percentage has negative genotypic correlation with total and filled-pod numbe1: The negative genotypic correlation were also found between resistance level and the weight of total pod, filled pod, as kernel, although not significant.
PENJARANGAN BUAH ANGGUR "BS-6" DENGAN PEMETIKAN BUAH DAN PEMOTONGAN TANDAN Widodo, Winarso D.; Harjadi, Sri Setyati; Wattimena, G. A.; Mattjik, A. A.
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol 22, No 2 (1994): Buletin Agronomi
Publisher : Bogor Agricultural University

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Abstract

An experiment consists of two separated trial sets had been carried out at Probolinggo, East Java to study of manual thinning on berry cluster of "BS-6" grape by berry removal and cluster tipping. Berry thinning severities that were investigated consists of berry-removing and cluster tipping, each applied control, 20%, 40% and 60% thinning treatments at 7 or 14 days after anthesis. Berry removal did not influence to berry density but increased large-berry proportion and juice quality; since cluster tipping increased berry density, berry size and berry uniformity. Manual thinning at 7 days after anthesis gave better effect than at 14 days after anthesis
Generalized AMMI Models for Assessing The Endurance of Soybean to Leaf Pest Hadi, Alfian Futuhul; Mattjik, A. A.; Sumertajaya, IM
Jurnal ILMU DASAR Vol 11, No 2 (2010)
Publisher : Fakultas MIPA Universitas Jember

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Abstract

AMMI(AdditiveMainEffectMultiplicativeInteraction)modelforinteractionsintwo-waytableprovide the major mean for studying stability and adaptability through genotype × environment interaction (GEI), which modeled by full interaction model. Eligibility of AMMI (Additive Main Effect Multiplicative Interaction) modeldependsonthatassumptionofnormallyindependentdistributederrorwithaconstantvariance. Inthe study of genotypes’ resistance, disease and pest (insect) incidence on a plant for example, the appropriateness of AMMI model is being doubtful. We can handle it by introducing multiplicative terms for interaction in wider class of modeling, Generalized Linear Models. Its called Generalized AMMI model. An algorithm of iterative alternating generalized regression of row and column estimates its parameters. GAMMI log-link model will be appliedtothePoissondatadistribution.GAMMIlog-link modelsgiveusgoodinformationoftheinteractionby its log-odd ratio. Keywords: AMMI, GEI, GAMMI, log-link
Generalized AMMI Models for Assessing The Endurance of Soybean to Leaf Pest Hadi, Alfian Futuhul; Mattjik, A. A.; Sumertajaya, IM
Jurnal ILMU DASAR Vol 11 No 2 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Original Source | Check in Google Scholar | Full PDF (217.038 KB)

Abstract

AMMI(Additive Main Effect Multiplicative Interaction)model for interactions in two-way table provide the major mean for studying stability and adaptability through genotype × environment interaction (GEI), which modeled by full interaction model. Eligibility of AMMI (Additive Main Effect Multiplicative Interaction) model depends on that assumption of normally independent distributed error with a constant variance. In the study of genotypes’ resistance, disease and pest (insect) incidence on a plant for example, the appropriateness of AMMI model is being doubtful. We can handle it by introducing multiplicative terms for interaction in wider class of modeling, Generalized Linear Models. Its called Generalized AMMI model. An algorithm of iterative alternating generalized regression of row and column estimates its parameters. GAMMI log-link model will be applied to the Poisson data distribution. GAMMI log-link models give us good information of the interaction by its log-odd ratio.