scholarly journals Morphological Variability and Storage Root Productivity of Some Sweet Potato (Ipomoea Batatas (L.) Lam) Genotypes in An Ultisol

2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Gamaliel I. Harry ◽  
Joseph I. Ulasi
Keyword(s):  
Principal Component Analysis ◽  
Sweet Potato ◽  
Ipomoea Batatas ◽  
Principal Component ◽  
Component Analysis ◽  
The Other ◽  
Storage Root ◽  
Root Yield ◽  
Cropping Seasons ◽  
And Storage

Ten sweet potato (Ipomoea batatas (L.) Lam) genotypes sourced from National Root Crops Research Institute, Umudike were evaluated under rainfed condition in 2020 and 2021 cropping seasons at the Teaching and Research Farm of the University of Uyo, Uyo, Akwa Ibom State to ascertain variability among ten sweet potato genotypes and identify traits which are positively and significantly associated with yield and also identify genotypes with high yield potential for cultivation on an ultisol of Akwa Ibom State, Nigeria. The ten genotypes: TIS87/0087, Naspoy-12, Umuspo-4, Umuspo-1, Naspoy-11, Lourdes, Erica, Delvia, Ex-Igbariam and Umuspo-3 were used as treatments and the experiment was laid out in a randomized complete block design with three replications. Data collected were subjected to analysis of variance, correlation and principal component analysis. The genotype differs significantly (P≤ 0.05) for number of marketable roots, weight of marketable roots and fresh roots yield. UMUSPO-3 was superior over all the other genotypes for the following character; number of marketable roots, weight of marketable root yield and fresh root yield. Umuspo-3 produced the highest storage root yield (28.78t/ha, 27.09t/ha) in 2020 and 2021 cropping seasons, respectively. The result of the correlation analysis also revealed that vine length, number of marketable roots, weight of marketable were highly significantly and positively (P<0.01) correlated with fresh root yield. Principal component analysis (PCA) had four main principal components explaining 81.55% of the total variation with number of marketable roots, weight of marketable tuber and storage root yield contributing the most to the first PCA. Umuspo-3 outperformed the other nine sweet potato genotypes in yield and yield related characters. Therefore, Umuspo-3 been a high yielding genotype adaptable to Uyo agro-ecology, could be recommended to sweet potato growers for fresh storage root production.

High yield and pest resistant genotypes of sweet potato (Ipomoea batatas (L.) Lam.) for cultivation in Umudike, Southeastern, Nigeria

2021 ◽  
Vol 6 (4) ◽  
pp. 563-569
Author(s):  
J. I. Ulasi ◽  
R.S. Okim ◽  
E.U. Rivers
Keyword(s):  
Sweet Potato ◽  
Ipomoea Batatas ◽  
Dry Matter ◽  
Starch Content ◽  
Principal Component ◽  
High Yield ◽  
Storage Root ◽  
Root Yield ◽  
Southeastern Nigeria ◽  
Cropping Seasons

Newly developed progenies of sweet potato were evaluated to identify promising genotypes with high storage root yield, dry matter, starch content and susceptibility to Cylas spp. at the National Root Crops Research Institute, Umudike, Southeastern Nigeria during the 2015 and 2016 cropping seasons to evaluate variation among crosses of different sweet potato families, namely: LigriXFaara (17), LigriXApomoen (9) and LigrixSauti (8), including two check varieties (Umuspo 3 and TIS 87/0087). Analysis of variance, correlation and principal component analysis were employed for data analysis. In this study, four genotypes; LigriXFaara/3 (16.02t/ha), LigriXFaara/2 (14.67t/ha), LigriXFaara/1 (13.66t/ha) and LigriXFaara/6 (10.33t/ha) produced higher fresh storage root yield than the national check (TIS 87/0087). Four genotypes recorded starch content above 50mg100-1; LigriXApomoden/1 (69.71mg100-1), LigriXApomoden/3 (62.98mg100-1), LigriXApomoden/2 (60.89mg100-1), LigriXApomoden/4 (57.53 mg100-1). Among the thirty-four genotypes evaluated, twenty-nine genotypes were susceptible to the attack of C. puncticollis. LigriXFaara/1 recorded the highest attack of C. puncticollis, followed by LigriXApomoden/5, LigriXFaara/4, LigriXApomoden/3, LigriXSauti/3, LigriXFarra/5 while five genotypes; LigriXFaara/4, LigriXFaara/5, LigriXSauti/5, LigriXFaara/8, LigriXFaara/7 and LigriXFaara/14 did not show any sign of vulnerability of C. puncticollis. Promising genotypes that recorded high yield, dry matter and resistance to Cylas spp. could be subjected to advanced yield trail and incorporated into further breeding program.

scholarly journals Potassium Fertilization Stimulates Sucrose-to-Starch Conversion and Root Formation in Sweet Potato (Ipomoea batatas (L.) Lam.)

2021 ◽  
Vol 22 (9) ◽  
pp. 4826
Author(s):  
Yang Gao ◽  
Zhonghou Tang ◽  
Houqiang Xia ◽  
Minfei Sheng ◽  
Ming Liu ◽  
...  
Keyword(s):  
Sweet Potato ◽  
Ipomoea Batatas ◽  
Intercellular Co2 Concentration ◽  
Biomass Accumulation ◽  
Starch Accumulation ◽  
Storage Root ◽  
Root Yield ◽  
Starch Conversion ◽  
And Storage ◽  
Low K

A field experiment was established to study sweet potato growth, starch dynamic accumulation, key enzymes and gene transcription in the sucrose-to-starch conversion and their relationships under six K2O rates using Ningzishu 1 (sensitive to low-K) and Xushu 32 (tolerant to low-K). The results indicated that K application significantly improved the biomass accumulation of plant and storage root, although treatments at high levels of K, i.e., 300–375 kg K2O ha−1, significantly decreased plant biomass and storage root yield. Compared with the no-K treatment, K application enhanced the biomass accumulation of plant and storage root by 3–47% and 13–45%, respectively, through promoting the biomass accumulation rate. Additionally, K application also enhanced the photosynthetic capacity of sweet potato. In this study, low stomatal conductance and net photosynthetic rate (Pn) accompanied with decreased intercellular CO2 concentration were observed in the no-K treatment at 35 DAT, indicating that Pn was reduced mainly due to stomatal limitation; at 55 DAT, reduced Pn in the no-K treatment was caused by non-stomatal factors. Compared with the no-K treatment, the content of sucrose, amylose and amylopectin decreased by 9–34%, 9–23% and 6–19%, respectively, but starch accumulation increased by 11–21% under K supply. The activities of sucrose synthetase (SuSy), adenosine-diphosphate-glucose pyrophosphorylase (AGPase), starch synthase (SSS) and the transcription of Susy, AGP, SSS34 and SSS67 were enhanced by K application and had positive relationships with starch accumulation. Therefore, K application promoted starch accumulation and storage root yield through regulating the activities and genes transcription of SuSy, AGPase and SSS in the sucrose-to-starch conversion.

scholarly journals EFFECT OF GYPSUM ON EARLY GROWTH AND YIELD OF SWEET POTATO.

HortScience ◽  
1990 ◽  
Vol 25 (9) ◽  
pp. 1078a-1078
Author(s):  
E. Niyonsaba ◽  
E. G. Rhoden ◽  
P. K. Biswas ◽  
G.W. Carver
Keyword(s):  
Sweet Potato ◽  
Ipomoea Batatas ◽  
Dry Matter ◽  
Block Design ◽  
Early Growth ◽  
Growth And Yield ◽  
Root Weight ◽  
Storage Root ◽  
Root Yield ◽  
And Storage

A study was conducted to assess the effects of gypsum on the early growth and storage root yield of sweet potato (Ipomoea batatas) cvs `Jewel', `Goergia Jet' and `TI-155'. Three rates of gypsum were applied (1.03, 2.06 and 3.09 tons/acre). These represented half, recommended and 1.5 recommended levels. The experiment was a randomized complete block design with a split plot arrangement of treatment. Leaf area, total dry matter, leaf dry matter and stat-age root weight were recorded at 30-day intervals. Plants receiving half the recommended levels of gypsum produced the highest total storage root dry matter (0.306 t/a) and the highest leaf dry matter (0.116 t/a). Although a positive relationship exists between leaf dry matter and storage root yield between 90 and 120 days, there was no such relationship between those parameters either at 30 and 60 days or 60 and 90 days after transplanting.

scholarly journals DIVERSITAS GENETIK KERABAT LIAR UBI JALAR IPOMOEA TRIFIDA (H.B.K.) G.DON. BERUMBI ASAL CITATAH JAWA BARAT BERDASARKAN KARAKTER KROMOSOM (Genetic Diversity Of Wild Relative Of Sweet Potato Tubered-Ipomoea Trifida (H.B.K.) G.don. Originated From Citatah West Java Based On Chromosome Characters)

2013 ◽  
Vol 3 (3) ◽  
Author(s):  
Tia Setiawati
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Sweet Potato ◽  
Ipomoea Batatas ◽  
Principal Component ◽  
Component Analysis ◽  
West Java ◽  
Ipomoea Trifida ◽  
Plant Materials ◽  
Materials Used

AbstrakKerabat liar ubi jalar Ipomoea trifida asal Citatah Jawa Barat potensial digunakan dalam program pemuliaan tanaman ubi jalar (Ipomoea batatas (L.) Lam.) Untuk mengetahui diversitas genetik I. trifida  dilakukan pengamatan terhadap karakter kromosom. Bahan tanaman yang digunakan  adalah 10 spesies I. trifida berumbi. Hubungan kekerabatan antar spesies diketahui melalui analisis klaster dan Analisis Komponen Utama/Principal Component Analysis (PCA). Hasil pengamatan menunjukkan pengujian pada 10 aksesi I. trifida berumbi dengan menggunakan 9 karakter kromosom menghasilkan jarak ketidakmiripan (Euclidean coeffisien) yang berkisar 1,75 – 6,22 dan menunjukkan diversitas yang luas. Dendogram yang dihasilkan pada jarak ketidakmiripan 5,23 menunjukkan terbentuknya 3 klaster utama. Analisis Komponen Utama (PCA) menghasilkan 2 komponen utama pertama (PC1 dan PC2) yang telah dapat menjelaskan 89,64% dari total variasi. Kata kunci : Ipomoea trifida, Analisis Klaster, Analisis Komponen UtamaAbstractWild relatives of sweet potato, Ipomoea trifida originated from Citatah West Java was potential use in plant breeding programs of Ipomoea batatas (L.) Lam. To determine the genetic diversity of I. trifida, observation on characters of chromosomes of I.trifida was conducted. Plant materials used ten accessions  of tubered-I. trifida. Relationship between species identified by cluster analysis and Principal Component Analysis (PCA). The results showed that the observation on the 10 accession of tubered-I. trifida using 9 characters chromosome produces dissimilarities distance (Euclidean coefficient) ranging from 1.75 to 6.22. Dendogram generated  at a dissimilarity distance of 5.23 showed the formation of three main clusters. Principal Component Analysis (PCA) produced first two principal component (PC1 and PC2), which has been able to explain 89.64% of the total variation.Keyword  : Ipomoea trifida, Clustering Analysis, Principal Component Analysis

scholarly journals Pengelompokan Klon-Klon Ubi Jalar Berdasarkan Analisis Gerombol, Komponen Utama dan Biplot dari Karakter Morfologi

2019 ◽  
Vol 46 (3) ◽  
pp. 276-282
Author(s):  
Helen Hetharie ◽  
Simon Hadi Teguh Raharjo ◽  
Dan Edizon Jambormias
Keyword(s):  
Principal Component Analysis ◽  
Sweet Potato ◽  
Ipomoea Batatas ◽  
Principal Component ◽  
Component Analysis ◽  
Morphological Characters ◽  
Similarity Coefficients ◽  
Biplot Analysis ◽  
Tuber Flesh ◽  
Descriptive Method

Sweet potato is a food crop with high genetic and phenotypic diversities. The objective of this study was to cluster sweet potato clones based on their morphological characters. This research used descriptive method using 25 morphological characters on 28 sweet potato clones and clustered using dice coefficient, principal component analysis and biplot analysis. The results showed that the clones were grouped into two clusters and 14 sub-clusters. Three sub-clusters had high similarity coefficients, i.e., 0.68-0.96, one clone was eliminated, and 11 sub-clusters had a low similarity, i.e., 0.41-0.52. The principal component analysis showed 14 of 25 morphological characters  determined the diversity in 27 sweet potato clones with cumulative variance of 70.79%. Biplot analysis showed that 12 characters contributed to cumulative variance of 61.3%. Twelve morphological characters had weak contribution on the characteristics of the clones in quadrant I; meanwhile, characteristics of  clones in quadrant II were orange, yellow and white tuber flesh, in quadrant III was dark purple tuber flesh, and in quadrant IV were purple tuber flesh and cortex. Result of the grouping analysis identified clones that were closely related and those distantly related for improvement purposes.Keywords: Ipomoea batatas, cumulative variance, Maluku province, morphology, relationship

scholarly journals Effect of ZnSO4 fertilizer on soil chemical properties, performance and proximate quality of sweet potato in a derived savanna ecology of Nigeria

2018 ◽  
Vol 3 (1) ◽  
pp. 644-651
Author(s):  
A.O. Adekiya ◽  
C.M. Aboyeji ◽  
T.M. Agbede ◽  
O. Dunsin ◽  
O.T.V. Adebiyi
Keyword(s):  
Sweet Potato ◽  
Block Design ◽  
Chemical Properties ◽  
Soil Chemical Properties ◽  
Storage Root ◽  
Root Yield ◽  
The Mean ◽  
The Impact ◽  
And Storage

Abstract Micro-nutrients especially zinc can not only increase the yield of sweet potato but can also improve the quality of tubers. Hence, experiments were carried out in 2015 and 2016 cropping seasons to determine the impact of various levels of ZnSO4 fertilizer on soil chemical properties, foliage and storage root yields and proximate qualities of sweet potato (Ipomoea batatas L.). The experiments consisted of 5 levels (0, 5, 10, 15 and 20 kg ha-1) of ZnSO4 fertilizer. These were arranged in a randomized complete block design and replicated three times. ZnSO4 increased (with the exception of P) soil chemical properties compared with the control. N, K, Ca, Mg and Zn were increased up to the 20 kg ha-1 ZnSO4 level in both years. ZnSO4 reduced P concentrations in soil as the level increased. For sweet potato performance, 5 kg ha-1 ZnSO4 fertilizer had the highest values of foliage yield (vine length and vine weight) and storage root yield. Using the mean of the two years and compared with the control, ZnSO4 fertilizer at 5 kg ha-1 increased storage root yield of sweet potato by 17.4%. On fitting the mean storage root yield data of the two years with a cubic equation, the optimum rate of Zn for sweet potato was found to be 3.9 kg ha-1 to achieve the maximum sweet potato yield. In this study, relative to the control, ZnSO4 fertilizer increased moisture and decreased the fibre contents of sweet potato. There were no consistent patterns of variation between the 5, 10, 15 and 20 kg ha-1 ZnSO4 treatments for proximate qualities except that the highest values of fat, protein, carbohydrate and ash was at 5 kg ha-1 ZnSO4.

scholarly journals Effect of Nutrient Solution Concentration on the Growth of Hydroponic Sweetpotato

Agronomy ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1708
Author(s):  
Masaru Sakamoto ◽  
Takahiro Suzuki
Keyword(s):  
Nutrient Solution ◽  
Ipomoea Batatas ◽  
Critical Factor ◽  
Solution Concentration ◽  
Growth And Yield ◽  
Storage Root ◽  
Root Yield ◽  
Cultivation Period ◽  
Significant Difference ◽  
And Storage

Nutrient solution concentration (NSC) is a critical factor affecting plant growth in hydroponics. Here, we investigated the effects of hydroponic NSC on the growth and yield of sweetpotato (Ipomoea batatas (L.) Lam.) plants. First, sweetpotato cuttings were cultivated hydroponically in three different NSCs with low, medium, or high electrical conductivity (EC; 0.8, 1.4, and 2.6 dS m−1, respectively). Shoot growth and storage root yield increased at 143 days after plantation (DAP), depending on the NSC. Next, we examined the effect of NSC changes at half of the cultivation period on the growth and yield, using high and low NSC conditions. In plants transferred from high to low EC (HL plants), the number of attached leaves increased toward the end of the first half of the cultivation period (73 DAP), compared with plants transferred from low to high EC (LH plants). Additionally, the number of attached leaves decreased in HL plants from 73 DAP to the end of the cultivation period (155 DAP), whereas this value increased in LH plants. These changes occurred due to a high leaf abscission ratio in HL plants. The storage root yield showed no significant difference between HL and LH plants. Our results suggest that the regulation of hydroponic NSC during the cultivation period affects the growth characteristics of sweetpotato.

Chemical Structure-Odor Correlation in Series of Synthetic Methylene Interrupted n-Nonadien-1-ols

1996 ◽  
Vol 51 (11-12) ◽  
pp. 841-848 ◽  
Author(s):  
Yasunobu Sakoda ◽  
Kenji Matsui ◽  
Yoshihiko Akakabe ◽  
Jun Suzuki ◽  
Akikazu Hatanaka ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Double Bond ◽  
Principal Components ◽  
Chemical Structure ◽  
Principal Component ◽  
Component Analysis ◽  
The Other ◽  
Analysis Method ◽  
In Series ◽  
Natural Characteristic

Abstract Chemical structure-odor correlations in the isomers of n-C9-methylene interrupted dienols were explored using synthetic nine isomers of these alcohols. The synthetic dienols were purified by recrystallization or column chromatography of their 3,5-dinitrobenzoate de­ rivatives. Chemical structure-odor correlations in all the isomers of the purified n-nonadien-1-ols were analyzed by treating the data obtained statistically with the principal component analysis method (Sakoda et al., 1995; Cramer et al., 1988) in comparison with those of n-nonen-1-ols. The odor profiles of the n-nonadien-1-ols were attributable largely to the geometries of the isomers, compared with n-nonen -1-ols (Sakoda et al., 1995). With the principal component analysis, the odor profiles of the series of the dienols were successfully integrated into the first and the second principal components. The first component (PC 1) consisted of combined characteristics of fruity, fresh, sweet, herbal and oily-fatty, and the second component (PC 2) leaf or grassy and vegetable-like. Of the methylene interrupted dienol isomers, (2E ,6Z)-and (3Z,6Z)-nonadien-1-ols which are natural products and have (6Z) in the same, deviated markedly from the other isomers as seen in (6Z)-nonen -1-ol of n-nonen-1-ols. That suggests that the double bond of (ω3Z) was an important factor for natural characteristic odor.

ROBUST ADAPTED PRINCIPAL COMPONENT ANALYSIS FOR FACE RECOGNITION

2009 ◽  
Vol 23 (03) ◽  
pp. 491-520 ◽  
Author(s):  
SHAOKANG CHEN ◽  
BRIAN C. LOVELL ◽  
TING SHAN
Keyword(s):  
Principal Component Analysis ◽  
Recognition Rate ◽  
Principal Component ◽  
Component Analysis ◽  
Face Image ◽  
The Other ◽  
Appearance Model ◽  
Lighting Conditions ◽  
Highly Sensitive ◽  
Gallery Image

Recognizing faces with uncontrolled pose, illumination, and expression is a challenging task due to the fact that features insensitive to one variation may be highly sensitive to the other variations. Existing techniques dealing with just one of these variations are very often unable to cope with the other variations. The problem is even more difficult in applications where only one gallery image per person is available. In this paper, we describe a recognition method, Adapted Principal Component Analysis (APCA), that can simultaneously deal with large variations in both illumination and facial expression using only a single gallery image per person. We have now extended this method to handle head pose variations in two steps. The first step is to apply an Active Appearance Model (AAM) to the non-frontal face image to construct a synthesized frontal face image. The second is to use APCA for classification robust to lighting and pose. The proposed technique is evaluated on three public face databases — Asian Face, Yale Face, and FERET Database — with images under different lighting conditions, facial expressions, and head poses. Experimental results show that our method performs much better than other recognition methods including PCA, FLD, PRM and LTP. More specifically, we show that by using AAM for frontal face synthesis from high pose angle faces, the recognition rate of our APCA method increases by up to a factor of 4.

Sign in / Sign up

Export Citation Format

Share Document