I would also recommend Genstat statisticsl package. Genstat was also developed for agricultural sciences but may be applied across many other disciplines. The user interface contains comprehensive menus to guide non-technical users to use statistics correctly and effectively. It also has a powerful programming language that can be used to develop new techniques and complicated experiments, hence it does not only analyse your data after an experiment, but it also enables you to design your experiment, it is equipped with all possible experimental designs for agricultural field layouts which are usually lacking in other programs. It further provides a huge range of statistical procedures, data management, and graphical capabilities. It has powerful spreadsheet facilities for data storage and manipulation and an attractive graphics viewer that allows users to edit and interact with their plots. You may purchase a license key for its use as an individual but in most cases institutions have licence keys for use by their members, please check it out here https://www.vsni.co.uk/software/genstat/
If you are conversant with programming, you may also consider R. R is currently arguably the best package across any field, what is more, is that it is free to use, and with coming in of R studio, it has become even much interesting and easy to manage. It is best known for producing highest quality graphics and carrying out more sophisticated statistical analyses using various packages that can be installed online. Most importantly, it is the most documented statistical package online, hence you will find almost everything you need online by a proper search on the internet. Check it out here, https://www.r-project.org, https://rstudio.com
The SAS system was developed by a plant geneticist about 50 years ago and is still used by many agricultural scientists. It has a powerful set of procedures. It is not free, but many universities purchase it for use across the entire university.
Here is a link: https://www.sas.com/en_us/home.html?utm_source=google&utm_medium=cpc&utm_campaign=brand-global&utm_content=GMS-88251&keyword=sas&matchtype=e&publisher=google&gclid=Cj0KCQiApaXxBRDNARIsAGFdaB9-c2vMOkSJmHr9tHsJcgVtCKCdcv3_oAT96nlKH40t-Uu_3OErfbQaAsrUEALw_wcB
I would also recommend Genstat statisticsl package. Genstat was also developed for agricultural sciences but may be applied across many other disciplines. The user interface contains comprehensive menus to guide non-technical users to use statistics correctly and effectively. It also has a powerful programming language that can be used to develop new techniques and complicated experiments, hence it does not only analyse your data after an experiment, but it also enables you to design your experiment, it is equipped with all possible experimental designs for agricultural field layouts which are usually lacking in other programs. It further provides a huge range of statistical procedures, data management, and graphical capabilities. It has powerful spreadsheet facilities for data storage and manipulation and an attractive graphics viewer that allows users to edit and interact with their plots. You may purchase a license key for its use as an individual but in most cases institutions have licence keys for use by their members, please check it out here https://www.vsni.co.uk/software/genstat/
If you are conversant with programming, you may also consider R. R is currently arguably the best package across any field, what is more, is that it is free to use, and with coming in of R studio, it has become even much interesting and easy to manage. It is best known for producing highest quality graphics and carrying out more sophisticated statistical analyses using various packages that can be installed online. Most importantly, it is the most documented statistical package online, hence you will find almost everything you need online by a proper search on the internet. Check it out here, https://www.r-project.org, https://rstudio.com
I use SAS because I have given 30 years of my life to learn it and I'm not willing to give up now, even though it is expensive and hateful. HOWEVER, I am encouraging young people to learn R. It is free and user friendly and more and more people are using it.
I use R for many my agricultural research data analysis including plant breeding data analysis. R platforms are handy and easy for many agricultural research designs
SAS and SPSS are best all the descriptive statistics but especially plant breeding there are few user friedly tools are there like PBTOOLS, STARby IRRI and ADEL, ADG-R, GEA-R, and META-R from CIMMYT (runs on R backgrond). You can also do all the required analyses in R studio by using agricole and plantbreeding packages.