198,862 research outputs found
Keragaman Musa acuminata Colla Liar dengan Pendekatan Morfologi dan Molekuler
Get PDFIndonesia merupakan salah satu negara pusat keragaman tumbuhan
pisang. Salah satu jenis pisang liar adalah Musa acuminata Colla yang umumnya
ditemukan tumbuh alami, mempunyai banyak biji, bersifat diploid (2n=2X=22)
dan bergenotip AAw. M. acuminata Colla liar tidak dikonsumsi karena berbiji.
Banyaknya varietas M. acuminata Colla liar menunjukkan keragaman genetik
dalam jenis tersebut. Potensinya belum digali dan dimanfaatkan. Salah satu
potensinya adalah resisten terhadap serangan penyakit layu karena Fusarium
oxysporum f.sp. cubens. Penelitian ini bertujuan untuk menentukan keragaman
fenotip serta genotip varietas M. acuminata Colla liar. Keragaman genotip
M. acuminata Colla ini dilakukan dengan menggunakan penanda molekuler
Random Amplified Polimorphic DNA (RAPD). Keragaman fenotip ditentukan
dengan dasar ciri-ciri morfologi yang meliputi organ batang, daun, bunga dan
tunas. Sampel berjumlah 25 yang terdiri atas 15 sampel M. acuminata Colla var.
banksii; 2 sampel M. acuminata Colla var. bantamensis; 4 sampel M. acuminata
Colla var. malaccensis; 3 sampel M. acuminata Colla var. nakaii; dan 1 sampel
M. acuminata Colla var. sumatrana. Hasil penelitian menunjukan bahwa hanya 6
primer yang menghasilkan fragmen DNA yaitu berjumlah 54 dengan ukuran
280 pb - 2000 pb, dimana 48 fragmen (88,89%) merupakan pita polimorfik dan 6
fragmen lainnya (11,11%) merupakan pita monomorfik. Nilai koefisien kesamaan
fenotip tertinggi ditemukan antara varietas banksii dan sumatrana (0,80),
demikian juga nilai koefisien kesamaan genotip tertinggi juga terdapat antara
varietas banksii dan sumatrana (0,83). Dibandingkan dengan pendekatan fenotip,
pendekatan genotip (molekuler RAPD) ternyata mampu menunjukkan variasi
yang ada pada individu-individu yang masih berada dalam kelompok varietas
yang sama
AI Data Analysis and SOM for the Monitoring and Improvement of Quality in Rolled Steel Bars
No full textIn the steel sector, within the production of high value hot rolled long products, assessment of components health and compliance with quality targets are fundamental aspects that need to be ensured. In this paper, an AI–based system for monitoring the conditions of the rolling process of bars with round section and estimating the final bars ovality is presented. The developed system, based on a Self Organising Map, is trained and evaluated by using data coming from a real plant and pre–processed by means of advanced AI techniques. The system allows monitoring a wide range of process variables affecting the ovality issue and actively supports plant operators in the task of avoiding quality–critical conditions and possible machine faults
Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms
No full textThe paper proposes an approach to the design of the chemical composition of steel, which is based on neural networks and genetic algorithms and aims at achieving a desired hardenability behavior possibly matching other constraints related to the steel production. Hardenability is a mechanical feature of steel, which is extremely relevant for a wide range of steel applications and refers to the steel capability to improve its hardness following a heat treatment. In the proposed approach, a neural-network-based predictor of the so-called Jominy hardenability profile is exploited, and an optimization problem is formulated, where the optimization function allows taking into account both the desired accuracy in meeting the target Jominy profile and other constraint. The optimization is performed through genetic algorithms. Numerical results are presented and discussed, showing the efficiency of the proposed approach together with its flexibility and easy customization with respect to the user demands and production objectives
A Novel Approach to Jominy Profile Prediction Based on 1D Convolutional Neural Networks and Autoencoders that Supports Transfer Learning
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Banana Leaves Quality Of Musa Balbisiana Colla. And Musa Paradisiaca L. Based On Anatomical Structure
No full textIndonesia is the main centre of banana biodiversity. Banana is preferred because of its high nutrient content and economical value. Besides, banana leaves, particularly from “Klutuk” banana (Musa balbisiana Colla.) is also well-known used as traditional wrapper of cakes and foods. The objective of this research was to know and to compare the anatomical structure of Musa balbisiana Colla. and Musa paradisiaca L. leaves, and their anatomical characters as quality indication of banana leaves used as cakes and foods wrapper. Cross sections of banana leaves were prepared using free hand section and paraffin embedding methods. Leaf clearing method was used to prepare upper and lower epidermal tissue slides. Parameters used were the arrangement of cells/tissues, length and width of vascular bundles, mesophyll thickness, the thickness of schlerenchyma tissue, the number of laticiferous and tanin cells, and stomata indexs. The data were analyzed using Analysis of Variance (Anova) continued by Duncan test at level 5%. The results showed that the anatomical structure of M.balbisiana Colla. and M. paradisiaca L. leaves consisted of epidermis, hypodermis, mesophyll, and vascular bundles. The supporting tissues were composed of sclerenchyma located at upper and lower side of vascular bundle. The number of cell layers composing upper and lower hypodermis; stomata number, stomata index, the length and width of stomata; the thickness of vascular bundles; the thickness of layers composing adaxial and abaxial mesophyll; the thickness of schlerenchyma layers and width of schlerenchyma tissue at vascular bundle as well as laticiferous and tannin cell were found differently between M. balbisiana Colla. and M. paradisiaca L. The values of meshophyll thickness, length and width of vascular bundle, the thickness of schlerenchyma tissue, the number of laticiferous cells and the number of tanin cells were higher for M. paradisiaca L than in M. balbisiana Colla. The smaller the thickness of schlerenchyma layers and the width of schlerenchyma tissue at vascular bundle as well as the less number of laticiferous and tannin cells were assumed to be correlated with the good quality of M. balbisiana Colla leaves as foods and cakes wrapper
Neural Short-term Prediction based on Dynamics reconstruction
No full textIn this paper we present an application of dynamics reconstruction techniques to model order estimation. Both the Grassberger-Procaccia and the Takens' method were applied, yielding similar values for the correlation dimension, hence for the model order. Based on this model order, appropriately structured neural nets for short-term prediction were designed. Satisfactory experimental results were obtained in one-hour-ahead electrical load forecasting on a six-month benchmark from an electric utility in the U.S.A
Genetic diversity in Musa acuminata Colla and Musa balbisiana Colla and some of their natural hybrids using AFLP markers
No full textGenetic diversity and relationships were assessed in 28 accessions of Musa acuminata (AA) Colla and Musa balbisiana (BB) Colla, and some of their natural hybrids, using the amplified fragment length poly-morphisms (AFLP) technique. Fifteen AFLP +3 primer pairs produced 527 polymorphic bands among the accessions. Neighbor-joining and principal co-ordinate (PCO) analyses using Jaccard’s similarity coefficient produced four major clusters that closely corresponded with the genome composition of the accessions (AA, BB, AAB and ABB). The AFLP data distinguished between the wild diploid accessions and suggested new subspecies relationships in the M. acuminata complex that are different from those based on morphological data. The data suggested that there are three subspecies within the M. acuminatacomplex (ssp. burmannicaSimmonds,malaccensisSimmonds, and microcarpaSimmonds).‘Tjau Lagada’ (ssp. microcarpa), ‘Truncata’ [ssp truncata (Ridl.) Shepherd] and ‘SF247’ [ssp. Banksii (F.Muell) Simmonds] clustered very closely with ‘Gros Michel’and ‘Km 5’, indicating that more than one M. acuminate subspecies may be involved in the origin of triploid AAA bananas. ‘Calcutta 4’ (ssp. burmannicoidesDeLanghe & Devreux) and ‘Long Tavoy’ (ssp. burmannica) were closely related and could be together in the same subspecies. This study also showed that there is much more genetic diversity within M. balbisiana that was split into two groups: (1) ‘I-63’ and ‘HND’ and (2)‘Los Banos’, ‘MPL’ (Montpellier), ‘10852’, ‘Singapuri’,‘Etikehel’, and ‘Butohan 1’ as the other
Schede biografiche di giardinieri e architetti: Famiglia Colla
No full textL'attività dei Colla nel parco di Agliè dal 1765 al 182
Comparative analysis of MADS-box genes involved in fruit ripening of Philippine banana cultivars (Musa acuminata Colla and Musa balbisiana Colla)
No full textMADS-box genes encode a family of transcription factors that participate in many developmental processes in plants. Among the ripening-related MADS-box genes isolated from banana, only MaMADS2 gene encodes a transcription factor involved in developmental regulation of fruit ripening. In this study, four complementary deoxyribonucleic acid (cDNA) isoforms of MADS2 gene were isolated from Musa acuminata Colla cv. Lakatan, named MalMADS2.1, MalMADS2.2a, MalMADS2.2b, and MalMADS2.3, and two isoforms from M. balbisiana Colla cv. Saba, named MbsMADS2.1 and MbsMADS2.2. All six MADS2 isoforms shared 90-100% homology with the original MaMADS2 sequence from M. acuminata Colla cv. Grand Nain. While the isoforms MalMADS2.2a and 2.2b have identical open reading frames and derived amino acid sequences, their 3′ untranslated regions (UTR) differed by showing insertion/deletion sites and different response elements. The putative elements identified were related to the expression of the stress response compounds such as methyl jasmonate and abscisic acid. Promoters for the dominant MADS2 isoforms were also isolated and sequenced. The cis-elements that were common to both cultivars were the light responsive elements (GATA motif, MNF1, and As-2-box) and the TCA element that is involved in the production of salicylic acid
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