Inicio  /  Forests  /  Vol: 7 Núm: 10 Par: October (2016)  /  Artículo
ARTÍCULO
TITULO

Early Stage Fine-Root Decomposition and Its Relationship with Root Order and Soil Depth in a Larix gmelinii Plantation

Tao Sun    
Lili Dong    
Lili Zhang    
Zhijie Wu    
Qingkui Wang    
Yuanyuan Li    
Hongguang Zhang and Zhengwen Wang    

Resumen

s-

 Artículos similares

       
 
Francisco Altimiras, Leonardo Pavéz, Alireza Pourreza, Osvaldo Yañez, Lisdelys González-Rodríguez, José García, Claudio Galaz, Andrés Leiva-Araos and Héctor Allende-Cid    
In agricultural production, it is fundamental to characterize the phenological stage of plants to ensure a good evaluation of the development, growth and health of crops. Phenological characterization allows for the early detection of nutritional deficie... ver más
Revista: Agronomy

 
Minh Vuong Duong, Jong-Wook Chung, Van Gioi Ha, Hwi Moon, Ju-Kyung Yu and Yoon-Sup So    
In the temperate climate of South Korea, specific corn varieties are cultivated using plug trays. The cultivation process is initiated from February to March within greenhouse facilities, maintaining a temperature below 10 degrees Celsius. Following this... ver más
Revista: Agronomy

 
Yoonah Jang, Jinhee Kim, Junho Lee, Sangdeok Lee, Hwahyen Jung and Gyu-Hyeon Park    
Drought is a significant climatic factor that significantly affects the production of Chinese cabbage, a crop that is highly susceptible to drought stress. The development and cultivation of drought-tolerant varieties could be a viable strategy to minimi... ver más
Revista: Agronomy

 
Yunfei Yu, Linghua Meng, Chong Luo, Beisong Qi, Xinle Zhang and Huanjun Liu    
In Northeast China, transplanted rice cultivation has been adopted to extend the rice growing season and boost yields, responding to the limitations of the cumulative temperature zone and high food demand. However, direct-seeded rice offers advantages in... ver más
Revista: Agronomy

 
Luana Centorame, Thomas Gasperini, Alessio Ilari, Andrea Del Gatto and Ester Foppa Pedretti    
Machine learning is a widespread technology that plays a crucial role in digitalisation and aims to explore rules and patterns in large datasets to autonomously solve non-linear problems, taking advantage of multiple source data. Due to its versatility, ... ver más
Revista: Agronomy