Selection of superior genotype of sweet-potato in Indonesia based on stability and adaptability

Mustamu, Yohanis Amos; Tjintokohadi, Koko; Grüneberg, Wolfgang J.; Karuniawan, Agung; Ruswandi, Dedi

doi:10.4067/s0718-58392018000400461

Cited by 30 publications

(32 citation statements)

References 26 publications

(55 reference statements)

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“…Tabel 4 menunjukkan bahwa efek lingkungan memberikan kontribusi terbesar terhadap keragaman hasil panen ubi jalar (74.84%), diikuti oleh efek interaksi genotipe dengan lingkungan (GxE) (14.17%), dan efek genotipe (10.99%). Beberapa peneliti juga melaporkan bahwa GxE mempengaruhi hasil panen ubi jalar (Haldavanekar et al, 2011;Kathabwalika et al, 2013;Mau et al, 2013;Laurie et al, 2015;Gurmu, 2017;Rukundo et al, 2017;Mustamu et al, 2018;Ngailo et al, 2019). Hal ini menunjukkan bahwa variasi hasil panen ubi jalar sangat dipengaruhi oleh faktor lingkungan.…”

Section: Interaksi Genotipe Dengan Lingkunganunclassified

“…Genotipe puncak pada lokasi Sumedang yaitu genotipe PR235. Genotipe-genotipe yang berada pada puncak setiap sektor menunjukkan bahwa genotipe-genotipe tersebut memiliki hasil tinggi pada lingkungan yang berada di sektor tersebut (Rad et al, 2013;Zhang et al, 2016;Mustamu et al, 2018). Genotipe-genotipe yang berada pada sektor yang berisi lebih dari satu lingkungan atau lingkungan mega, menunjukkan genotipe yang ideal (Xu et al, 2014;Gurmu, 2017;Erdemci, 2018).…”

Section: Stabilitas Hasil Berdasarkan Gge Biplotunclassified

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Identifikasi Stabilitas Hasil Genotipe Ubi Jalar (Ipomoea batatas L. (Lam)) Harapan Baru di Tiga Lingkungan

Karuniawan¹,

Maulana

2020

J. Agron. Indonesia

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Produktivitas merupakan salah satu karakter penting dalam perakitan varietas baru. Pengujian multilokasi diperlukan untuk mengestimasi stabilitas hasil dari tanaman yang diuji. Penelitian ini bertujuan untuk mengestimasi interaksi genotipe dengan lingkungan (GxE), mengidentifikasi stabilitas hasil genotipe-genotipe baru ubi jalar, serta mengidentifikasi pengukuran stabilitas yang statis dan dinamis terhadap hasil ubi jalar. Penelitian dilakukan di tiga lingkungan di Jawa Barat, diantaranya pada dataran medium yaitu Kabupaten Sumedang (729 mdpl), Kabupaten Bandung (857 mdpl), serta pada dataran rendah yaitu Kabupaten Karawang (24 mdpl) dari bulan Januari 2017-Juli 2018. Percobaan menggunakan rancangan lapangan Augmented design di setiap lokasi. Analisis ragam (ANOVA) gabungan digunakan untuk mengestimasi GxE, sedangkan stabilitas hasil diestimasi dengan pengukuran model stabilitas parametrik (Regresi linier Eberhart dan Russell (bi dan S2di), komponen rata-rata varians (θi), varians genotipe terhadap lingkungan (GE) (θ(i)), Wricke ecovalence (Wi2), varians stabilitas Shukla (σ²i), koefisien variasi (CVi), AMMI stability value (ASV)), non-parametrik (model Huehn (S(i)), model Thennarasu (NP(i)), Peringkat Kang (KR)), dan GGE biplot. Hasil penelitian menunjukkan bahwa GxE menunjukkan pengaruh yang signifikan terhadap hasil panen dengan kontribusi sebesar 14.17%. Dua genotipe ubi jalar teridentifikasi stabil dan memiliki hasil tinggi di tiga lingkungan yaitu PR79 dan PR126. Genotipe-genotipe tersebut dapat direkomendasikan sebagai genotipe unggul baru dan sebagai bahan untuk program pemuliaan tanaman ubi jalar selanjutnya. Pengukuran stabilitas NP(2) dan θᵢ merupakan model stabilitas statis yang dapat merekomendasikan genotipe stabil pada lingkungan yang kurang menguntungkan (unfavorable), sedangkan pengukuran S(1), S(2), S(3), S(6), NP(1), NP(3), NP(4), KR, CVi, bi, S2di, Wi2, ASV, dan σ²ᵢ merupakan model stabilitas dinamis yang dapat merekomendasikan genotipe stabil pada lingkungan yang menguntungkan (favorable). Kata kunci: GGE biplot, multilokasi, non-parametrik, parametrik, stabilitas hasil

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Section: Interaksi Genotipe Dengan Lingkunganunclassified

Section: Stabilitas Hasil Berdasarkan Gge Biplotunclassified

Identifikasi Stabilitas Hasil Genotipe Ubi Jalar (Ipomoea batatas L. (Lam)) Harapan Baru di Tiga Lingkungan

Karuniawan¹,

Maulana

2020

J. Agron. Indonesia

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“…(ADEBOLA et al, 2013;SA'DIYAH and HADI, 2016). In recent years this analysis has been developed into an important technique in the agricultural survey (BABIĆ et al, 2010;RAK et al, 2013;GIRIDHAR et al, 2016;HADDAD et al, 2016;MUSTAMU et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of tuber yield using unbalanced data from potato variety trials

Mijic¹,

Kozumplik²,

Šarčević³

et al. 2019

Genetika

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Potatoes are grown in a wide region and in different environments unlike other crops, so it is known as one of the most spread world crops. In many agriculture areas around the world new genotypes are included in many multi-locational experiments at a large number of locations and years to determine the level and the stability of yields. However, there are a lot of problems with this traditional approach mostly due to the large number of genotypes that require consistent checking of every genotype at numerous locations and years. Multi-locational experiments require a lot of time and financial resources, and the possibility of error is greatly increased. In the present study we used the REML/BLUP 1152

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“…Sweet potatoes usually have different yield potential if planted in diverse environments. Potential yield is one of the important characters in crops [1] . The yield can be also provided economic value to farmers, the community, and also industry users.…”

Section: Data Descriptionmentioning

confidence: 99%

Yield stability dataset of new orange fleshed sweet potato (Ipomoea batatas L. (lam)) genotypes in West Java, Indonesia

Maulana

Dewayani²,

Solihin

et al. 2020

Data in Brief

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There are many local varieties of sweet potatoes which are cultivated and consumed in Indonesia. The food industry which uses sweet potato as the main raw material has been developed in West Java. Demand for orange-fleshed sweet potato is high, but the supply of demand has not been fulfilled. This is because the varieties that are widely cultivated do not meet consumer standards and preferences, so new superior genotypes are needed following demand. Currently, selection of stable and high-yielding genotypes and accordance with consumer and industry preferences is one of the focuses of sweet potato research. Orange-fleshed sweet potato multi locations testing in accordance with consumer and industry preferences, can be used as a basis for consideration in the development program. The purpose of this study were to identify genotype by environment interactions (GEIs) and t select superior genotypes and to estimate yield stability across three locations in West Java, Indonesia. Combined analysis of variance (ANOVA) was used to determine significant differences between each genotype tested in term of yield and to estimated genotype by environment interactions (GEIs). Additive Main Effects and Multiplicative Interaction (AMMI), Genotype Plus Genotype by Environment Interactions (GGE) biplots, and Parametric and non-parametric stability measurements were used to determine yield stability from genotypes tested in all locations (Sumedang Regency, Bandung Regency, Karawang Regency). Data in this article showed that the genotypes, environments, and GEIs had an effect on sweet potato yields, with influences of 35.03%, 18.87%, and 46.01%, respectively. The results in this data also indicate that some new sweet potato genotypes have stable and high yields in three environments in West Java, Indonesia. So they were can be used for development in sweet potato breeding programs.

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Selection of superior genotype of sweet-potato in Indonesia based on stability and adaptability

Cited by 30 publications

References 26 publications

Identifikasi Stabilitas Hasil Genotipe Ubi Jalar (Ipomoea batatas L. (Lam)) Harapan Baru di Tiga Lingkungan

Identifikasi Stabilitas Hasil Genotipe Ubi Jalar (Ipomoea batatas L. (Lam)) Harapan Baru di Tiga Lingkungan

Stability analysis of tuber yield using unbalanced data from potato variety trials

Yield stability dataset of new orange fleshed sweet potato (Ipomoea batatas L. (lam)) genotypes in West Java, Indonesia

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