Field Assessment and Inheritance of Cassava Resistance to Superelongation Disease<sup>1</sup>

Kawano, Kazuo; Umemura, Yoshiki; Kano, Yoshiaki

doi:10.2135/cropsci1983.0011183x002300020002x

Cited by 24 publications

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“…manihotis ) (CIAT, 1979; Umemura and Kawano, 1983) and superelongation disease [SE, caused by the fungus Sphaceloma manihoticola Bitancourt & Jenk. (teleomorph: Elsinoe brasiliensis )] (CIAT, 1978; Kawano et al, 1983). The selection of cross parents for the next generation hybrids was primarily based on the performance at one location; however, adaptability across the three locations, though only a small number of genotypes showed it, was also considered.…”

Section: Resultsmentioning

confidence: 99%

“…Particularly, the selection input from the most stressful environment of ICA/Carimagua must have been crucial in securing tolerance to poor acid soils and disease resistances in the breeding populations, which were to be brought to Asia through seed transfer. The CBB and SE resistances obtained in the ICA/Carimagua selections were quantitatively inherited, slow disease‐growing type (Kawano et al, 1983; Umemura and Kawano, 1983) and the resistances appear durable both in America and Asia until now. The breeding populations thus generated and further improved at CIAT/Thai were undoubtedly the source of successful cultivar selections for cassava‐growing environments in Asia.…”

Section: Discussionmentioning

confidence: 97%

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Thirty Years of Cassava Breeding for Productivity—Biological and Social Factors for Success

2003

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to Asia in the early 1980s in the form of an applied breeding program in close collaboration with national The Centro Internacional de Agricultura Tropical (CIAT, headprograms. The Department of Agriculture (Thailand) quartered in Colombia) established a cassava (Manihot esculenta and CIAT established a collaborative cassava breeding Crantz) breeding program in the beginning of the 1970s with the aim program that distributed the advanced breeding materiof extending the Green Revolution success to less privileged sectors als to many national programs in Asia. of the tropical populations. The initial decade was mainly dedicated to the collection of germplasm and generation of basic breeding mate-The goal was defined as the establishment of a cassava rials. The later decades were devoted to applied breeding in collaborabreeding program with a global perspective that would tion with international and national programs in Latin America, Asia, generate economic benefits targeted to the less priviand Africa. This paper focuses on the basic breeding at CIAT/Colombia leged in the rural sector. During the whole period of (CIAT/HQ), applied breeding at CIAT/Thailand (CIAT/Thai), and development of the program, the following operating distribution and selection of improved materials with many collaboraprinciples or processes were closely adhered to: (i) estors in Asia. Fresh root yield of populations was improved by Ͼ100% tablishment of breeding methodology; (ii) generation of and root dry matter content by Ͼ20%. The national program collaborauseful breeding materials; (iii) distribution of advanced tors used these populations to develop many improved cultivars in breeding materials to national programs; (iv) establishmany countries. The biological factors considered as critical for this ment of competent national cassava breeding programs; successful breeding effort were as follows: inclusion of a broad base (v) development of improved cultivars; and (vi) dissemiof genetic variability obtained in the center of crop origin and diversifination of cultivars. cation; evaluation of breeding materials under diverse environmental conditions including high stress environments; and a clear understand-Within these procedures there were three distinct ing of the different operational principles at different stages of breed-technical phases performed under specific institutional ing advancement, as illustrated by the emphasis on harvest index in arrangements, each of which was critical to accomplishselection within populations and on biomass in population building. ing our goals: first, germplasm collection and evaluation, The understanding of crop germplasm being a common heritage and which formed the most important part of the basic the determination of agricultural scientists to use this for the welfare breeding at CIAT headquarters in Colombia; second, of the neediest people were the social factors for the overall success.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 97%

Thirty Years of Cassava Breeding for Productivity—Biological and Social Factors for Success

2003

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“…Peneliti K-Medoids berikutnya dilakukan dengan judul Optimalisasi K-Medoids dalam pengklasteran mahasiswa pelamar beasiswa dengan Cubic Clustering Criterion. Pada penelitian ini K-Medoids dapat diterapkan dengan memaksimalkan Cubic Clustering Criterion pada dalam pengklasteran mahasiswa pelamar beasiswa [4]. Hasil penelitian menunjukkan bahwa dataset modifikasi keseluruhan mempunyai keseragaman yang baik.…”

Section: Pendahuluanunclassified

Penerapan K-Medoids Clustering Pada Ekspor Buah-Buahan Menurut Negara Tujuan

Saputri¹,

Hidayatullah²,

Dermawan³

2021

JUTSI

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Abstrack:The aim of the study is to group fruit exports according to the country of destination. The research data used came from the Indonesian Central Statistics Agency with the url https://www.bps.go.id/ for the category of fruit exports by destination country. The computer science technique used is to utilize K-Medoids clustering data lamination. The results of the study are expected to provide information to the government about the mapping results in the form of clusters of the destination countries for the number of fruit exports. This needs to be done to review the process of fruit exports to destination countries, bearing in mind the results of the export of these fruits have the potential to improve the Indonesian economy. Keywords:Data mining, Klastering, K-Medoids, Fruit Export, Destination Country. Abstrak:Tujuan dari penelitian adalah untuk mengelompok kan ekspor buah-buahan menurut negara tujuan. Data penelitian yang digunakan berasal dari Badan Pusat Statistik Indonesia dengan kategori ekspor buah-buahan menurut negara tujuan. Teknik ilmu komputer yang digunakan adalah dengan memanfaat kan data mining klastering K-Medoids. Hasil penelitian diharapkan dapat memberikan informasi kepada pemerintah tentang hasil pemetaan berupa cluster terhadap Negara tujuan untuk jumlah ekspor buah-buahan. Hal ini perlu dilakukan untuk meninjau ulang proses ekspor buah buah kenegara tujuan mengingat hasil ekspor buah-buah tersebut berpotensi untuk meningkatkan perekonomian Indonesia. Kata Kunci:Data mining, Klastering, K-Medoids, Ekspor Buah, Negara Tujuan

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“…Hal ini yang sering membuat para petugas bingung untuk melakukan patroli di daerah mana saja yang di perlukan untuk melakukan kegiatan patroli ataupun sosialisasi agar masyarakat sekitar ikut berpatrisipasi membantu kegiatan patroli tersebut, sehingga masyarakat sekitar merasa aman untuk melakukan segala aktivitas kesehariannya tanpa adanya rasa takut atau tidak aman. Dari penjelasan masalah diatas penulis memiliki tujuan dari penelitian ini adalah : Menerapkan proses data mining dengan metode K-Means Clustering untuk pengelompokan daerah yang sering terjadi pencurian di Kabupaten Asahan [1]., Menguji penerapan metode K-Means Clustering menggunakan PHP [2]., Membangun sistem baru untuk pembagian daerah yang sering terjadi tindak kejahatan pencurian berdasarkan data tindak kejahatan pencurian yang ada di Polres Asahan [3].…”

Section: Pendahuluanunclassified

Penerapan Metode Clustering Dengan Algoritma K-Means Tindak Kejahatan Pencurian di Kabupaten Asahan

Damanik¹,

Irianto²,

Dahriansah³

2021

J-Com

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Abstract:Theft is the illegal taking of property or belongings of another person without the permission of the owner. The most common crime problem in Asahan District is theft, so that the POLRES is still having trouble determining which areas are often the crime of theft. With this problem, we need to do a grouping for areas where theft often occurs, so the process used is the data mining process. Data mining is one of the processes of Knowledge Discovery from Databases (KDD). KDD is an activity that includes collecting, using historical data to find regularities, patterns or relationships in large data sets. One of the techniques known in data mining is clustering technique. The K-Means method is a method for clustering techniques, K- Means is a method that partitions data into groups so that data with the same characteristics are entered into the same set of groups and data with different characteristics are grouped into other groups. The attributes used in grouping this data are annual data, namely 2015, 2016, 2017, 2018, 2019. A case study of 9 POLSEK in the Asahan. Keywords: Data Mining, Clustering, K-Means Algorithm, Theft Crimes Grouping. Abstrak: Pencurian merupakan pengambilan properti atau barang milik orang lain secara tidak sah tanpa ijin dari pemilik. Masalah tindak kejahatan yang paling banyak terjadi di Kabupaten Asahan adalah tindak kejahatan pencurian sehingga pihak POLRES masih kesulitan untuk menentukan daerah mana saja yang sering terjadi tindak kejahatan pencuriaan. Dengan adanya masalah ini kita perlu melakukan pengelompokan untuk daerah mana saja yang sering terjadi tindak pencurian maka proses yang digunakan adalah proses data mining. Data mining adalah salah satu proses dari Knowledge Discovery from Databases (KDD). KDD adalah kegiatan yang meliputi pengumpulan, pemakaian data, historis untuk menemukan keteraturan, pola atau hubungan dalam set data besar. Salah satu teknik yang di kenal dalam data mining adalah teknik clustering. Metode K-Means merupakan metode untuk teknik clustering, K-Means adalah metode yang mempartisi data kedalam kelompok sehingga data berkarakteristik sama dimasukan kedalam set kelompok yang sama dan data yang berkerakteristik berbeda dikelompokkan ke dalam kelompok yang lain. Atribut yang di gunakan dalam pengelomokan data ini adalah data pertahun yaitu tahun 2015, 2016, 2017, 2018, 2019. Studi kasus pada 9 POLSEK yang ada di daerah kabupaten Asahan. Kata kunci: Data Mining, Clustering, Algoritma K-Means, Pengelompokan Tindak Kejahatan Pencurian.

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Field Assessment and Inheritance of Cassava Resistance to Superelongation Disease¹

Cited by 24 publications

References 0 publications

Thirty Years of Cassava Breeding for Productivity—Biological and Social Factors for Success

Thirty Years of Cassava Breeding for Productivity—Biological and Social Factors for Success

Penerapan K-Medoids Clustering Pada Ekspor Buah-Buahan Menurut Negara Tujuan

Penerapan Metode Clustering Dengan Algoritma K-Means Tindak Kejahatan Pencurian di Kabupaten Asahan

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Field Assessment and Inheritance of Cassava Resistance to Superelongation Disease1

Cited by 24 publications

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Thirty Years of Cassava Breeding for Productivity—Biological and Social Factors for Success

Thirty Years of Cassava Breeding for Productivity—Biological and Social Factors for Success

Penerapan K-Medoids Clustering Pada Ekspor Buah-Buahan Menurut Negara Tujuan

Penerapan Metode Clustering Dengan Algoritma K-Means Tindak Kejahatan Pencurian di Kabupaten Asahan

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Field Assessment and Inheritance of Cassava Resistance to Superelongation Disease¹