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

Abstract

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.

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

“…Beberapa produk olahan yang berasal dari ubi jalar meningkatkan nilai jual dari komoditas ini, diantaranya biofuel (Waluyo et al, 2015), pewarna alami (Hariadi et al, 2018), serta tepung dan snack bar (Sunyoto et al, 2019). Selain itu, industri pangan yang menjadikan ubi jalar sebagai bahan baku utamanya, juga telah banyak berkembang di provinsi Jawa Barat (Maulana et al, 2020). Akan tetapi, jumlah permintaan ubi jalar dari industri dan pasar tidak sejalan dengan kapasitas produksi.…”

“…Pengujian multilokasi sangat penting dalam program pemuliaan tanaman. Saat ini, program pengembangan genotipe yang stabil dan berdaya hasil tinggi serta sesuai dengan preferensi konsumen, adalah salah satu tujuan utama program pemuliaan ubi jalar (Maulana et al, 2020). Pengujian multilokasi dapat mengetahui genotipe-genotipe stabil pada lingkungan yang luas, serta adaptip pada lingkungan yang spesifik.…”

“…Efek GxE pada pengujian multilokasi terutama terjadi pada karakter kuantitatif termasuk hasil panen (Andrade et al, 2016a), serta resistensi terhadap faktor biotik dan abiotik (Dia et al, 2016). Saat ini telah banyak penelitian yang menggunakan kombinasi model stabilitas parametrik dan non-parametrik dalam menyeleksi genotipe stabil dan berdaya hasil tinggi, diantaranya pada tanaman buncis (Cicer arietinum L.) (Farshadfar et al, 2012), pada tanaman kacang rumput (Lathyrus sativus L.) (Ahmadi et al, 2015), pada tanaman gandum (Abate et al, 2015), pada tanaman jelai (Khalili dan Pour-aboughadareh, 2016;Vaezi et al, 2019), pada tanaman jagung manis (Ruswandi et al, 2020), dan pada tanaman ubi jalar (Maulana et al, 2020). Pada penelitian lainnya, Ajay et al (2020) berhasil menyeleksi tanaman kacang pada kondisi cekaman pospor di India dan Sabaghnia et al (2013) pada tanaman gandum di Iran dengan penggabungan berbagai parameter AMMI.…”

“…Pada penelitian lainya, GxE juga memberikan pengaruh yang signifikan terhadap hasil panen seperti Purwokurniawan et al (2014) pada padi gogo di Indonesia, Oliveira et al (2014) pada markisa kuning di Brazil, Ngailo et al (2019) pada ubi jalar di Tanzania, dan Hastini et al (2020) pada padi sawah di Indonesia. Adanya GxE yang signifikan menyebabkan perlu dilakukannya analisis lanjutan dengan berbagai pendekatan untuk mengestimasi stabilitas hasil (Khalili dan Pour-aboughadareh, 2016;Vaezi et al, 2019;Maulana et al, 2020). Oleh karena itu, berbagai pengukuran stabilitas digunakan untuk mengelompokkan genotipe-genotipe ubi jalar pada kelompok yang lebih jelas.…”

Mega-Environment Analysis and Identify Stable and High-Yielding of New Promising Black Soybean Lines in Indonesia

“…According to 21 , a stable and high yielding lines is one of the targets for soybean breeding. In addition, lines with high and stable yields are expected to increase farmers' income 19 . Thus, this group was strategically developed for a further sustainable soybean breeding program.…”