Zunaira Sher¹, Muhammad Umair Majid¹, Sameera Hassan¹, Fatima Batool¹, Beenish Aftab^1,2, Bushra Rashid^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1613-1632, 2021, DOI:10.32604/phyton.2021.016154 - 28 June 2021

Abstract Pakistan is facing the threat of Cotton Leaf Curl Virus (CLCuV) which is transmitted through whitefly to cotton crop. Molecular mechanism of leaf epicuticular wax protects the plants from different pathogens including insect attack and disease transmission. Objective of current study is the isolation and characterization of a wax related gene GaCyPI from Gossypium arboreum under CLCuV infection. A fragment of 475 bp was isolated from the total RNA and 3’ and 5’ RACE-PCR products were arranged by overlapping the extended sequences at both the ends. Deduced protein sequence of GaCyPI showed homology with Cyclophilin cis-trans isomerase… More >

Maricela Apáez-Barrios¹, José Alberto Salvador Escalante-Estrada², Patricio Apáez-Barrios^1,*, Yurixhi Atenea Raya-Montaño³, Juan Carlos Álvarez-Hernández¹

Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1193-1203, 2021, DOI:10.32604/phyton.2021.014567 - 27 April 2021

Abstract Chickpea contains high levels of protein, vitamins and minerals. Acceptable chickpea yield is the result of meeting nitrogen and phosphorus requirements. The effect of appropriately meeting such requirements reflects on growth and can easily be evaluated using growth analysis. This research determined: (a) The effect of nitrogen and phosphorus fertilization on phenology, net assimilation rate, number of green leaves, leaf area, leaf area index and leaf area duration; (b) Green chickpea yield and number of pods due to fertilization; and (c) The combination of nitrogen and phosphorus fertilization that yields the most net revenue. Nitrogen… More >

Md. Ashraful Alam¹, Milan Skalicky², Muhammad Rezaul Kabir¹, Md. Monwar Hossain¹, Md. Abdul Hakim¹, Md. Siddikun Nabi Mandal¹, Rabiul Islam³, Md. Babul Anwar³, Akbar Hossain^1,*, Fahmy Hassan⁴, Amaal Mohammadein⁴, Muhammad Aamir Iqbal⁵, Marian Brestic^2,6, Mohammad Anwar Hossain⁷, Khalid Rehman Hakeem⁸, Ayman EL Sabagh^9,*

Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1301-1320, 2021, DOI:10.32604/phyton.2021.016015 - 27 April 2021

Abstract Globally among biotic stresses, diseases like blight, rust and blast constitute prime constraints for reducing wheat productivity especially in Bangladesh. For sustainable productivity, the development of disease-resistant lines and high yielding varieties is vital and necessary. This study was conducted using 122 advanced breeding lines of wheat including 21 varieties developed by Bangladesh Wheat and Maize Research Institute (BAMRI) with aims to identify genotypes having high yield potential and resistance to leaf blight, leaf rust and blast diseases. These genotypes were evaluated for resistance against leaf blight and leaf rust at Dinajpur and wheat blast… More >

Linjun Cai^1,#, Junhua Liu^2,#, Han Yun¹, Dan Du¹, Xiaolong Zhong¹, Zhenlin Yang¹, Xianchun Sang¹, Changwei Zhang^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1103-1117, 2021, DOI:10.32604/phyton.2021.015532 - 27 April 2021

Abstract Leaf color mutants are ideal materials for studying many plant physiological and metabolic processes such as photosynthesis, photomorphogenesis, hormone physiology and disease resistance. In this study, the genetically stable yellow-green leaf mutant ygl16 was identified from mutated “Xinong 1B”. Compared with the wild type, the pigment concentration and photosynthetic capacity of the ygl16 decreased significantly. The ultrastructural observation showed that the distribution of thylakoid lamellae was irregular in ygl16 chloroplasts, and the grana and matrix lamellae were blurred and loose in varied degrees, and the chloroplast structure was disordered, while the osmiophilic corpuscles increased. The results of More >

THARANGANI WELEGAMA¹, MOHD Y. RAFII^1,2,*, KHAIRULMAZMI AHMAD^1,3, SHAIRUL I. RAMLEE^1,2, YUSUFF OLADOSU¹

BIOCELL, Vol.45, No.4, pp. 1069-1079, 2021, DOI:10.32604/biocell.2021.014354 - 22 April 2021

Abstract Tomato (Solanum lycopersicum L.) belonging to the family Solanaceae is the second most consumed and cultivated vegetable globally. Since the ancient time of its domestication, thousands of cultivated tomato varieties have been developed targeting an array of aspects. Among which breeding for yield and yield-related traits are mostly focused. Cultivated tomato is extremely genetically poor and hence it is a victim for several biotic and abiotic stresses. Among the biotic stresses, the impact of viral diseases is critical all over tomato cultivating areas. Improvement of tomato still largely rely on conventional methods worldwide while molecular approaches, More >

Nguyen Thi Thanh Thuy^1,*, Le Hoang Huy¹, Truong Thuy Vy¹, Nguyen Thi Thanh Tam², Bien Thi Lan Thanh¹, Nguyen Thi My Lan³

Journal of Renewable Materials, Vol.9, No.8, pp. 1393-1411, 2021, DOI:10.32604/jrm.2021.015772 - 08 April 2021

Abstract In the present study, the biogenic silver nanoparticles have been synthesized using aqueous leaf extract of Plectranthus amboinicus (PA), which acted as both reducing and stabilizing agents. The PA synthesized silver nanoparticles were blended with carboxymethyl cellulose/polyvinyl alcohol (CMC/PVA) biocomposite. The prepared AgNPs as well as the biogenic AgNPs incorporated CMC/PVA films were investigated using UV-visible spectrophotometry, Fourier-transform infrared spectroscopy (FT-IR), dynamic light scattering (DLS), scanning electron microscope (SEM), and X–ray diffraction (XRD). The DLS results showed that biogenic AgNPs had the average particle size of 65.70 nm with polydispersity index of 0.44. The surface plasmon… More > Graphic Abstract

Yang Wu¹, Lihong Xu^1,*, Erik D. Goodman²

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 561-576, 2021, DOI:10.32604/iasc.2021.016415 - 01 April 2021

Abstract Deep convolutional neural network (DCNN) requires a lot of data for training, but there has always been data vacuum in agriculture, making it difficult to label all existing data accurately. Therefore, a lightweight tomato leaf disease identification network supported by Variational auto-Encoder (VAE) is proposed to improve the accuracy of crop leaf disease identification. In the lightweight network, multi-scale convolution can expand the network width, enrich the extracted features, and reduce model parameters such as deep separable convolution. VAE makes full use of a large amount of unlabeled data to achieve unsupervised learning, and then… More >

Shankarnarayanan Nalini^1,*, Nagappan Krishnaraj², Thangaiyan Jayasankar³, Kalimuthu Vinothkumar⁴, Antony Sagai Francis Britto⁵, Kamalraj Subramaniam⁶, Chokkalingam Bharatiraja⁷

CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1117-1128, 2021, DOI:10.32604/cmc.2021.012431 - 22 March 2021

Abstract Precision Agriculture is a concept of farm management which makes use of IoT and networking concepts to improve the crop. Plant diseases are one of the underlying causes in the decrease in the number of quantity and quality of the farming crops. Recognition of diseases from the plant images is an active research topic which makes use of machine learning (ML) approaches. A novel deep neural network (DNN) classification model is proposed for the identification of paddy leaf disease using plant image data. Classification errors were minimized by optimizing weights and biases in the DNN… More >

Kazunori Shinohara^*

CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 275-292, 2021, DOI:10.32604/cmes.2021.012383 - 22 December 2020

Abstract A lemniscate is a curve defined by two foci, F₁ and F₂. If the distance between the focal points of F₁ − F₂ is 2a (a: constant), then any point P on the lemniscate curve satisfy the equation PF₁ · PF₂ = a². Jacob Bernoulli first described the lemniscate in 1694. The Fagnano discovered the double angle formula of the lemniscate (1718). The Euler extended the Fagnano’s formula to a more general addition theorem (1751). The lemniscate function was subsequently proposed by Gauss around the year 1800. These insights were summarized by Jacobi as the theory of elliptic functions.… More >

Ruitao Lou¹, Daoxi Li^1,*, Yanbin Li¹, Zepeng Bian¹, Yanan Zhu²

Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 245-257, 2021, DOI:10.32604/phyton.2020.014073 - 20 November 2020

Abstract A drought event can cause yield loss or entire crops to fail. In order to study the effects of continuous drought on physiological characteristics, yield, and water use efficiency (WUE) of winter wheat (Triticum aestivum L.), the variety “Zhoumai 22” was grown in controlled water conditions of the pot-planted winter wheat under a mobile rainout shelter. Foot planting and safe wintering were used to evaluate, winter wheat under different drought conditions, including light, moderate and severe drought at the jointing, heading, and filling stages. The soil water content was controlled at 60–70%, 50–60%, or 40–50% of… More >